基于PRDT的16节点NoC路由算法

网络结构对于片上网络系统的性能和功耗发挥着重要作用，PRDT(2,1)有着较低的网络直径和平均距离、常数的节点度以及良好的可扩展性，这些特点使其非常适于NoC。为了提高小规模PRDT的路由性能，该文提出了一种binary路由算法，当网络规模不大于16时，该算法无须使用虚拟通道即可实现无死锁路由，通过增加少量虚拟通道，可改进为完全自适应路由算法。对所提出的路由算法与原有的向量路由算法进行仿真比较，结果显示binary算法在硬件成本较低的同时，性能更为优异，完全可以应用于基于PRDT的小规模NoC网络。     

Torus网络自适应容错路由算法

在应用于大规模并行计算机的互连网络的设计中,容错问题是其中的一个关键问题和难点问题。提出了一种基于Torus虫孔交换网络的容错路由算法,这一算法使用了矩形故障模型,无论故障区域大小多少和如何分布,算法始终是无死锁的,而且具有足够的自适应性,只要故障节点没有断开网络的连接,算法就能够通过选路使消息绕过故障区域,保持路由的连通性。同时,算法仅需要使用3个额外的虚拟通道。最后算法在不同故障率的Torus网络中进行了仿真实验,结果显示这一算法具有良好的平滑降级使用的特性。     

Mesh网络耐故障虫孔路由

耐故障是互连网络设计中的一个重要问题。本文提出了一种新的耐故障路由算法,并将其应用于使用虫孔交换技术的Mesh网络。由于使用了较低的路由限制,这一算法具有很强的自适应性,可以在各种不同故障域的Mesh网络中保持路由的连通性和无死锁性;由于使用了最小限度的虚拟通道,这一算法所需的缓冲器资源很少,非常适宜构建低成本的耐故障互连网络;由于根据本地故障信息进行绕行故障节点的决策,这一算法的路由决策速度较快并且易于在互连网络中实现。最后网络仿真试验显示,这一算法具有良好的平滑降级使用的性能。     

基于故障节点再利用的细粒度NoC容错路由算法

针对传统NoC容错算法中容错粒度过粗造成资源浪费的问题,提出了一种细粒度的自适应容错路由算法,对带有部分故障的节点重新利用。算法将各种故障映射为一种功能故障模型,结合新提出的路由端口优先级策略和嵌入的奇偶转向模型,实现数据包的无死锁容错路由。实验表明,随着负载和故障数目的增加,该算法具有更优越的容错性能,证明了算法的有效性。     

一种邻节点状态感知的NoC可重构容错路由

芯片特征尺寸的减小导致NoC的故障发生率越来越高.针对传统NoC容错算法中容错路由路径过长的问题,提出了一种可重构容错路由算法.该算法基于扩展的细粒度功能故障模型,对邻节点的故障情况及时掌握,并结合新的路由端口优先级策略和奇偶转向模型,实现了数据包的无死锁最优化容错路由.实验表明,该算法的路由路径更接近于最短路由路径,同时以增加较少的硬件开销为代价,获得了更优的容错性能,并具有更低的延迟和更高的吞吐量.     

基于链路状态感知的NoC自适应路由机制

针对片上网络（NoC）链路出现故障时,XY路由无法保证网络的正常通信问题,提出一种基于NoC链路感知的自适应路由算法,保证在链路出现故障后通信正常。仿真结果证明了在网络出现故障后,使用该算法仍能保持节点之间的通信,并且在一定的数据注入速率下,网络出现故障前后吞吐量不变。     

无虚拟通道的3D NoC ZoneDefense容错路由算法*

3D片上网络能有效解决片上系统的通信问题。本文针对3D Mesh NoC中的节点故障,提出了一种无虚拟通道容错路由算法,称为3D ZoneDefense容错路由算法(3D-ZDFT)。该算法建立在3D防御区域基础之上,3D防御区域能够提供故障体的位置信息。根据防御区域提供的故障体位置信息,3D-ZDFT可提前发现故障位置并改变转发端口,实现容错的同时避免引入死锁。实验结果表明,与HamFA相比,3D-ZDFT有较低的网络延迟和更高的可靠性。面积开销分析显示,3D-ZDFT比HamFA的面积开销高约3.1%。     

基于报文检测的快速自适应NoC容错路由算法

传统的自适应片上网络(NoC)容错路由算法采用一步一比较的方式来确定最优端口, 未能有效降低传输延迟。根据数据包在2D Mesh NoC前若干连续的跳数内最优端口固定的特点, 提出了一种基于报文检测的快速(FPIB)自适应容错路由算法。算法采用跳步比较的方式来减少数据包的路由时间, 并使用模糊优先级策略来进行容错路由计算。实验结果表明, 与uLBDR容错路由算法相比, 该算法能有效地降低平均延迟, 且实现算法的硬件开销更低。     

基于不规则Mesh的NoC无死锁路由

网络拓扑的选择是NoC设计中的一个重要问题,目前典型的特定应用NoC系统通常集成多个不同功能、不同尺寸、不同通讯需求的组件,而规则的网络拓扑结构并不适于在这种类型的NoC中应用,因此不规则Mesh网络被提出并被应用于不规则结构的NoC系统.为解决规则 Mesh路由算法在不规则Mesh中无法保证路由连通性的问题,本文提出一种不规则Mesh无死锁路由算法,无论NoC系统集成组件的版图如何变化,这一算法始终是连通的,即算法与不规则Mesh的规模和结构是无关的,同时算法仅使用较低的虚拟通道.     

基于软件定义网络的卫星网络容错路由机制

鉴于卫星网络对安全性和应对故障的能力有很高的要求，引入了软件定义网络（SDN）技术，在网络中放置中央控制器来增强网络对故障的应对能力。首先，基于SDN的思想设计了一种卫星网络模型，计算了三层轨道上卫星运行的参数并构建星座；然后，采用分层路由的方法，设计了一种针对卫星网络的容错路由机制；最后，在Mininet平台上进行了仿真实验，将容错路由算法（FTR）的实验结果与基于链路感知的星间路由算法（LRSR）和多层卫星网络路由算法（MLSR）的实验结果进行了对比。对比结果表明，在网络中无损坏节点和链路的情况下，FTR的路由总延时比LRSR平均降低了6.06%，说明了引入SDN集中控制的有效性；FTR的丢包率比同样以最小延时为目标的MLSR降低了25.79%，说明了在网络模型中为中轨道（MEO）卫星设计临时存储路由机制的有效性。而当网络中节点和链路的失效情况比较严重时，FTR的路由总延时比LRSR降低了3.99%，比MLSR降低了19.19%；其丢包率比LRSR降低了16.94%，比MLSR降低了37.95%，说明了FTR的容错有效性。实验结果验证了基于SDN的卫星网络路由机制具有更好的容错能力。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.