一种三级CMOS运算放大器

运算放大器（OPERATIONAL AMPLIFIER）是模拟电路中最重要和最通用的单元电路之一。基于0.5 umCMOS混合工艺设计了一种三级CMOS运算放大器,它具有放大倍率高,静态功耗低,适合大规模集成等特点。     

LBM算法在GPU组中的应用

为提高大规模并行计算的并行效率,充分发挥CPU与GPU的功能特点,特别是体现GPU强大的运算能力,提出了用消息传递接口(MPI)将一组GPU连接起来。使GPU通用计算与计算流体力学中的LBM(latticeBoltzmannmethod)算法相结合。根据GPU通用计算与LBM算法的原理,使MPI作为计算分配的机制,CUDA(compute unified device architecture)作为主要的计算执行引擎,建立支持CUDA的GPU集群,在集群上对LBM算法中的D2Q9模型进行二维方腔流数值模拟。实验结果表明,利用GPU组模拟与CPU模拟结果一致,更充分发挥了GPU的计算能力,提高了并行效率。     

GPU通用计算在LBM方法中的应用

提出了一种结合GPU通用计算与计算流体力学中的LBM算法来模拟二维流场的方法.根据GPU通用计算和LBM方法的基本原理,利用OpenGL的离屏渲染技术FBO和Cg语言,基于LBM方法中的D2Q9模型对二维方腔流进行数值模拟,并设计出基于OpenGL的GPU通用计算的二维流场数值计算框架.实验结果表明,利用GPU模拟与CPU模拟流场的数值结果相当吻合,特别地,利用GPU进行数值模拟实验的速度是利用CPU的4倍左右.     

LB-SGS方法和MRT-LBM方法对高雷诺数顶盖驱动流的数值模拟对比

针对格子Boltzmann方法(Lattice Boltzmann Method,LBM)广泛采用的LBGK模型虽然简单易行,但对高雷诺数流动模拟稳定性不佳的问题,分别采用结合亚格子模型的LBM(LBM with Sub Grid Scale(SGS),LB-SGS)方法和多松驰时间LBM(Multiple Relaxation Time(MRT)LBM,MRT-LBM)方法对高雷诺数顶盖驱动流进行数值模拟.取Re=7 500对比2种方法得到的涡位置与标准解之间的误差,结果表明LB-SGS方法更接近标准解;保持雷诺数和顶盖速度不变并减少格点数观察收敛情况,结果表明MRT-LBM方法更稳定.     

基于LBM的自由表面流体真实感绘制

针对自由表面流体的模拟,提出一种基于Lattice Boltzmann(LBM)的高效建模和绘制的方法.首先基于浅水方程的LBM模型进行流体建模及表面高度场计算,并提出一种基于Marching Cubes和自由表面算法结合的方法来抽取流体的表面,随后采用考虑移动障碍物的外力叠加机制和自适应加密算法来进行流体交互及表面的网格重构.最后采用硬件加速技术实现了不同自由表面流体的绘制,如溪流、水池浅水流、洪水水淹等真实感效果.     

喷射反应器内液-液快速反应的数值模拟

对于复杂快速反应,反应物之间能否快速均匀地混合是影响反应转化率、选择性和收率的重要因素,而喷射器作为一种高效混合设备,以它固有的优越性,越来越受重视。本文以酸碱快速中和反应为例,利用CFX5软件,采用k-s模型．将主动流体与引射流体的速度,在不同比值下对反应的影响作了模拟,结果表明,流速比决定反应的速度,流速比越大则反应越快,消耗的动力也越多,因此对于实际的喷射反应器,它必然有一个最优的速度比值。另外,本文还对流速比确定,不同反应物浓度比对反应的影响进行了模拟,结果表明浓度比对反应的影响很小,可以忽略。     

NFL:一种基于活动流参数估计的自适应模糊AQM算法

针对主动队列管理（AQM）机制面对动态突变的网络存在参数配置难问题,提出一种将模糊AQM和活动流参数估计策略相结合的白适应AQM算法（NFL）．在综合权衡各性能指标的基础上,设计了一组能适应一定网络变化的模糊规则,并对算法进行了运算优化．为捕获网络突发流,引入了一种基于Bloom滤波器的无状态维护活动流参数估计策略,并依此提出一个模糊AQM输出增益补偿器．实验结果表明,NFL能较好地适应网络变化,相对其他算法,具有更快的收敛速度和稳定的稳态队列控制性能．     

网络流量模拟方法研究进展

流量模拟包括包层次模拟、流层次模拟和混合模拟.包层次模拟粒度小、精度高、计算量大,流层次模拟采用高层抽象以提高模拟效率,但粒度较粗,精度较差,在网络动态性大时,"连锁反应"导致模拟效率下降.混合模拟在模拟精度和模拟效率间进行折衷,一种是将需要关注的部分采用包层次模拟,其它部分采用流层次模拟,另一种是进行离散变量短时间间隔的连续化,两类方法均不能完全消除"连锁反应"的影响.提出了包层次和聚集控制的混合模拟方法,降低了"连锁反应"的影响,实现了聚集TCP流的模拟.     

自适应解卷积与二次型共轭梯度算法

提出一种新的解卷积算法，它是将卷积运算关系ｙｉ＝ｈｉ＊ｆｉ转换为解矩阵方程Ｙ＝ＡＨ．运算这个矩阵方程可实现卷积与解卷积。文中也给出解矩阵方程的优化算法、ＱＣＧ（二次型共轭梯度）算法。计算机模拟表明，新算法具有精度高、速度快、数据短和计算稳定等优点．     

H.323多点处理器任务调度策略

ＩＴＵ－ＴＨ．３２３协议规定了基于包交换网络上的多媒体通信系统标准。其中的多点控制单元（ＭＣＵ）可以在多点会议中提供多终端的通信能力,多点处理器（ＭＰ）在多点控制器（ＭＣ）的控制下实现音频、视频、交换混合和媒体流的其它处理。该文针对多点会议的需求,研制出一种基于多ＤＳＰ的音频多点处理器,通过数片ＤＳＰ的协同工作,完成高复杂度的多通道Ｇ．７２３．１的编解码运算,以便实现支持多路远程低速终端接入的电视会议系统,是一个具有很高性价比的解决方案。     

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.