敏捷虚拟企业中基于CORBA的多级代理建模

敏捷制造虚拟企业（Agile Virtual Enterprise,AVE）作为一种新型的制造模式正在逐渐兴起。将CORBA技术应用到制造业中，根据制造业自身的特点，提出了分布式制造系统的多级代理模型。在该模型中，代理表示虚拟组织中某一功能部件或任务执行点；工作流表示代理之间相互依赖的关系；事件触发机制实现代理之间的互操作。由此，虚拟组织的运作和产品的协同开发就有了可靠的实现依据 。     

基于C#语言的Windows应用程序设计的课堂引入

本文通过一个具体的点名应用程序的设计与实现,讲解了如何将学生引入学习基于C#语言的Windows应用程序设计的过程。     

一种FPGA抗辐射布线算法设计

随着集成密度的增大以及工作电压的降低,基于SRAM的FPGA芯片更加容易受到单粒子翻转的影响。提出了一种基于通用布局布线工具VPR的抗辐射布线算法,通过改变相关布线资源节点的成本函数,来减少因单粒子翻转引起的桥接错误,并与VPR比较下板测试结果。实验结果表明,该布线算法可以使芯片的容错性能提升20%左右,并且不需要增加额外的硬件资源或引入电路冗余。     

Making use of prognostics health management information for aerospace spare components logistics network optimisation

Although research has evolved significantly over the last decade, there are still a large number of Grand Challenges confronting modelling, model deployment, and model-based decision making of large-scale complex Discrete Event Logistics Systems (DELS) to be tackled, as identified and reviewed during a Dagstuhl workshop in March 2010. This paper illustrates how several of these challenges are already being addressed, based on a series of case studies from the Aerospace Spare Components Logistics domain, where consolidated operational Prognostics and Health Management (PHM) information can be used for tactical planning and optimisation of spare components logistics networks. In this setting, the growing potential of PHM technology to facilitate the maintenance and support of commercial and military aircraft emphasises the need for tools to determine the impacts and benefits of a PHM system. To achieve this, the prognostics parameters and related logistics policies were identified, modelled, and subsequently incorporated into a simulation-based decision support framework.     

YHSSAS:面向大规模网络的安全态势感知系统

网络安全态势感知系统NSSAS(Network Security Situation Awareness System)能够感知网络安全的整体态势,对提高网络的应急响应和主动防御能力具有重要作用.现有的NSSAS处理能力有限,难以应用于国家骨干网等大规模网络.介绍了一个面向大规模网络的安全态势感知系统YHSSAS,首先...     

基于依存分析的事件识别

事件抽取是信息抽取的重要组成部分,事件识别是事件抽取的基础,事件识别的效果直接影响了事件抽取的结果.基于机器学习的方法识别事件需要从词汇中发掘更多的特征.针对当前事件识别方法中存在的不足,提出了一种基于依存分析的事件识别方法.用依存分析发掘触发词与其它词之间的句法关系,以此为特征在SVM分类器上对事件进行分类,最终实现事件识别.实验表明,基于依存分析的事件识别优于传统的事件识别方法,而融合多特征的事件识别F值可提高到69.3%.     

多线程同步技术在电感自动测试系统中的应用

以多线程同步技术在电感自动测试系统程序开发中的应用为例,该文着重论述了Windows系统提供的线程同步机制和LabWindows／CVI中的多线程数据保护机制,并给出了如何通过事件和线程安全变量来实现多线程间的同步控制和数据保护的方法。该技术的使用大大提高了整个系统的性能,提高了单台测试仪的产能,在实际生产中取得了良好的效益。     

Does stock repurchase declaration affect stock price? Differences between the electrics industry and other industries

This study is to discuss the impact of stock repurchase declaration and purpose of repurchase on the stock price in the backdrop of listed companies on Taiwan’s stock market. Event Study Method is employed to discuss stock price fluctuations while GARCH (Generalized Autoregressive Conditional Heteroscedasticity) is applied to estimate the Market Model regressive coefficients. The samples consisted of companies declaring first stock repurchase are selected from August 9, 2000 to December 31, 2005 with a precondition that all the companies shall be listed ones 150 days prior to declaration. The study results reveal that companies from other industries have considerably bigger average CAR than companies of the electrics industry before and after the declaration of stock repurchase. Companies with application purpose of “maintain stockholders’ equities and corporate credit” have considerably bigger average CAR than companies with application purpose of “transferring stocks to employees”. In industries other than electrics, companies with application purpose of “maintain stockholders’ equities and corporate credit” have bigger accumulated abnormal return response than companies with application purpose of “transferring stocks to employees”. In case of “maintain stockholders’ equities and corporate credit” as the application purpose of stock repurchase, companies from industries other than electrics have relatively higher average CAR response. The empirical study results can serve as a reference for the listed company management and to related academic studies.     

一个事件驱动的中间件平台

事件驱动具有异步多点通信的优点,引起了广泛的研究兴趣。提出了一个由基层和元层两层结构组成的自适应中间件框架,元层主要由接口元模型、组装元模型和感知元模型3个相互独立的模型组成。感知元模型负责数据在对象间流动,为应用提供运行时的环境。给出了感知元模型的设计和实现方法,基于有限状态自动机和时序逻辑提出了系统的形式化规范。为兼顾系统和应用两级并发,系统设计结合了事件和线程。图形用户接口系统在平台上的实现证明了平台在开发复杂的并发应用方面有着广阔的前景。     

Continuous query processing over music streams based on approximate matching mechanisms

It is foreseen that more and more music objects in symbolic format and multimedia objects, such as audio, video, or lyrics, integrated with symbolic music representation (SMR) will be published and broadcasted via the Internet. The SMRs of the flowing songs or multimedia objects will form a music stream. Many interesting applications based on music streams, such as interactive music tutorials, distance music education, and similar theme searching, make the research of content-based retrieval over music streams much important. We consider multiple queries with error tolerances over music streams and address the issue of approximate matching in this environment. We propose a novel approach to continuously process multiple queries over the music streams for finding all the music segments that are similar to the queries. Our approach is based on the concept of n-grams, and two mechanisms are designed to reduce the heavy computation of approximate matching. One mechanism uses the clustering of query n-grams to prune the query n-grams that are irrelevant to the incoming data n-gram. The other mechanism records the data n-gram that matches a query n-gram as a partial answer and incrementally merges the partial answers of the same query. We implement a prototype system for experiments in which songs in the MIDI format are continuously broadcasted, and the user can specify musical segments as queries to monitor the music streams. Experiment results show the effectiveness and efficiency of the proposed approach.