CAPP中工艺规程主干生成的约束匹配算法

工艺决策是CAPP系统开发的关键，文中提出了一种新的工艺规程主干生成的约束匹配算法，该算法将工艺决策任务分配为特征加工链生成、工序排序和工步排序三个相对独立的子任务，每个子任务只解决一个主要问题而与其它因素无关，并分别采取了不同的子任务求解策略，有效地缩小了排序规模，极大地降低了算法复杂度，该算法的关键技术在RJ-CAPP系统中得到实现。     

基于虚拟机的并行体绘制

介绍了一种基于并行虚拟机结构的体绘制算法.该算法以切片为单位来划分和组织体数据,既 降低了通信代价,也保证了各子任务的数据局部性.在任务分配时,维护并使用性能指数数据 库,自适应式地确定各个子任务,实现了负载平衡.使用一种异步二分方法,所有局部图像可以 在O(logn)时间内完成合并.针对可视化算法在虚拟机环境中的并行化实现,自行设 计并实现了一个基于TCP/IP和Socket标准开发平台.所提出的算法利用该平台而实现,系统采 用客户/服务器结构.对系统在任务规模、虚拟机规模方     

TAMP:面向区域覆盖的层次化多机器人任务分配方法

作为诸多移动机器人应用的基础，完全覆盖旨在为机器人规划出一条访问目标区域所有点且耗时最短的无碰撞路径。此类覆盖应用中，利用多台机器人协同覆盖可以有效缩短覆盖时间并提升系统的鲁棒性，同时也增加了算法设计复杂度和机器人协同管理难度。因此，文中研究了已知环境下的多机器人覆盖问题，该问题已被证明是一个NP难题。文中提出了一种启发式的基于多层次图划分的多机器人任务分配方法(Multi-robot Task Assignment Based on Multi-level Graph Partitioning, TAMP),该方法包含一种粗化任务分配算法和一种精细任务分配算法。粗化任务分配算法采用分层粗化的方法，通过图的极大匹配实现了节点融合以降低图的规模，并基于均匀种子的图增长方式获取了一个接近均衡的初始任务分配结果，提高算法效率；精细任务分配算法在粗化任务分配算法的基础上，提出了一种基于边界节点交换的Lazy&Lock策略，用于实现任务细分，提高求解精度。文中在不同规模的随机图和真实世界的治安巡逻场景下进行了仿真验证。仿真结果表明，相比经典的任务分配方法，TAMP方法将可求解的最大计算规...     

关联规则和分类规则挖掘算法的改进与实现

对Apriori关联规则挖掘算法提出了一种改进方法，使其可以有效地压缩数据规模，提高了原Apriori算法的执行效率。此外，还对OCI分类规则挖掘算法提出了改进，扩展了该算法的适用范围。同时，该采用这两个改进算法实现了一个数据挖掘原型系统。     

一个分布式消隐算法的设计与实现

本文介绍了分布式消隐算法的设计和实现，概述了图象空间划分方法和对象空间划分方法１，尤其对图象空间的动态任务划分方法给出了算法描述及实验结果。     

并行分布计算任务调度的子任务位次排布算法

文章介绍了一种并行分布计算任务调度中的子任务实现位次排布算法，它是对只分配具有偏序关系的子任务集到各处理机结点的任务调度算法的补充算法，它通过启发式分配原则将子任务安排到对应处理机结点的适当位次，避免了因位次排布不当而引起的信息传递不畅，进而导致任务无法实现的情况，同时还适当兼顾减少任务集的实现开销。     

实时嵌入式操作系统μC/OS-II内核的分析与改进

基于源码公开的实时嵌入式操作系统μC/OS-II及对内核的分析，该文对μC/OS-II的调度算法提出了改进，即扩充了任务数目，采用了任务分类的方法，使其能支持多于64个任务的调度。并可根据实际要求，对任务分组采用不同的调度算法，同时在整体上保持优先级调度模式。该文给出了局部时间片轮转调度和优先级调度算法的实现。     

基于移动Agent的Internet拓扑自动发现研究

发现网络拓扑是实现许多关键网络管理任务的先决条件。然而由于Internet具有庞大的规模和动态性 ,因而发现Internet的拓扑是一项非常困难的任务。提出了一个基于移动Agent的分布式Internet拓扑发现算法 ,在算法中各个自治系统内的拓扑发现采用分布式的方式 ,因而比传统的基于客户 /服务器模式和SNMP的方法具有更高的效率和更好的可伸缩性。     

结合遗传算法和滚动调度的多机器人任务分配算法

研究多机器人任务分配（MRTA）的目的是提高智能工厂中机器人完成任务的效率。针对现有算法在处理大规模、多约束的MRTA时存在不足的问题，提出一种结合遗传算法和滚动调度的MRTA算法（ACGARS）。首先，在遗传算法中采用基于有向无环图（DAG）的编码方式高效地处理任务之间的优先级约束；其次，在遗传算法的初始种群中加入先验知识以提高算法的搜索效率；最后，设计基于任务组的滚动调度策略用于减小求解问题的规模，从而实现对大规模问题的高效求解。在大规模问题实例上的实验结果表明，相较于构造性启发式算法（CHA）、最小化干扰算法（MIA）和基于惩罚策略的遗传算法（GAPS）生成的方案，当任务组数为20时，所提算法生成的方案的平均订单完成时间分别缩短了30.02%、16.86%和75.65%，验证了所提算法能有效地缩短订单的平均等待时间，提升多机器人任务分配效率。     

单机实时系统中的一种混合型实时容错调度算法

目前研究单机实时系统的调度算法文章大多只能调度单一类型的任务。本文在PKSA算法的基础上，建立了一种混合型实时容错模型，提出一种调度算法不仅可以调度有容错需求的周期任务，同时也能够调度无容错需求的周期任务和非周期非实时任务，实现了调度混合型任务的目的。     

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.