三维有限元网格的快速显示

应用OpengGL三维图形库，结合三维有限元网格的特点，提出了一种方便，实用的三维有限元网格的快速消隐显示方法，使得三维图形显示速度大为提高，并对显示中出现的网格线间断、缺线问题提出了相应的解决措施。     

OpenGL在空心曲轴设计系统中的应用

OpenGL图形库具有良好的3D图形生成功能,而科学计算可视化对于有限元分析软件是必不可少的部分。介绍了利用OpenGL图形库开发有限元模拟结果可视化系统的诸如消隐、局部图形放大、应力图的颜色平滑等关键技术,用此法开发了空心曲轴设计系统中的可视化后处理系统,提高了系统的可用性和计算结果的可读性。     

一种新的旋转体消隐算法

本文提出了一种新的旋转体消隐算法，详细地论述了基于该算法的任意旋转体中隐点判别的方法，最后给出了某机器人工作空间的三维消隐图形实例。     

基于B—Rep的三维有限元网格高效消隐技术

利用三维有限元网格图的性质和数据结构的特点，结合实体造型的边介元表示模式，提出了一种高效的空间立体网格图的消隐方法，该方法根据Ｂ－Ｒｅｐ将单元面归于不同的子集，充分 拓扑面的性质，采用一系列优化消隐策略，从而减少计算量，较好地提高了消隐处理的效率。     

利用峰值线交替扫描法实现曲面消隐

科学可视化将数据和图形图像有机地结合起来，用图形图像直观地展示数据。要生成直观的三维图形，必须进行消隐。对形如z=f(x，y)函数关系的图形，由于网格结点高度z(i，j)的任意性以及规则网格纵横截面的交错性，消隐有时比较困难，需要研究曲面消隐，找出一套有效的消隐算法。在峰值线法(浮动水平线算法)消隐的基础上，提出了一种用于实现形如z=f(x，y)函数关系的图形消隐的峰值线交替扫描法，给出了实施步骤和实例。用该集成消隐方法可方便地实现矩形域上函数z=f(x，y)的数据显示。     

八节点六面体有限元网格自动消隐技术

文章基于图形消隐技术,利用C语言,开发了一套有限元网格与AutoCAD之间进行图形交换的软件系统,并利用该系统将三维有限元网格数据以3D表面的数据格式生成DXF文件.通过AutoCAD直接打开该DXF文件,然后利用AutoCAD提供的消隐功能对三维有限元网格进行自动消隐,从而提高了大量数据的显示能力,并且省去了消隐的复杂编程工作.     

一种简便消隐方法的实现

三维图形的计算机显示一直是计算机图形学的重要内容,其中隐藏线的消除是三维图形显示的第一个关键步骤。虽然现在已提出多种消隐方法,但这些方法,要么算法比较简单,但存储量大且运行速度慢(如z—buffer法),要么速度比较快,但数据结构复杂,算法麻烦,非专业人员难于理解和编制。本文提出一种消除隐藏线的方法,它结合了z_buffer法和扫描线法的特点,算法简单,不涉及复杂的数据结构(如链表、树等)。只要求掌握计算机图形学中有关投影知识以及空间几何的某些基本关系即可,存储量也不大,当物体个数不太多时,有较快的消隐速度。 图像空间的消隐,分…     

Windows环境下的有限元网格消隐算法

本文主要研究ＷｉｎＰｏｓｔ中有限元网格消隐问题。利用有限元法中使用的单元通常为凸休且其多形一般情况为三角形或四边形的特征，提出了十分有效的有限元网格边界面及可见前向边界面的布尔运算搜索算法，这大大减少了消隐算法的计算量，并且本文还提出了一种十分有效的 组合结构有限元网格的消隐法。     

平面图形的消隐处理

平面图形的消隐处理扬州大学工学院王隆太一、引言图形的消隐问题曾被认为是计算机图形学和计算机辅助设计中的难点之一。早在六十年代，人们就开始从事这方面的研究，先后推出了多种消隐算法，并得到了成功的应用，如平面法线矢量判别法、画家计算法、Ｚ缓冲器法、扫描线...     

AutoCAD 环境下机械图消隐方法一探

本文探讨在ADS下，用选择集方法解决二维机械图装配消隐问题的机制。以上层图形轮廓寻找为核心，提供了一种实用的消隐算法。     

遗传规划算法在化合物设计、筛选研究中的应用

采用计算机科学中新兴的遗传规划算法思想，结合化学物质的本质特点，运用进化操作来实现化合物的合成设计和筛选。文中针对算法运用讨论了函数集、终止集问题，通过计算元素组成的字符串的化合价的结果来确定适应度函数，既符合化学学科的本质规律，又满足了算法的要求。通过复制、交换和突变操作，经过多代次的进化终止，取得了满意的结果。文章还针对其实用性，从化学本质出发，提出了建议和研究方向。可以说本文是遗传规划在化学化合物合成筛选中运用的成功探索，同时也为进一步研究打下了坚实的基础。     

基于SWRL本体推理研究

随着语义Web的兴起,本体技术已成为计算机学科中的一个研究热点。在分析本体、Web本体语言OWL和语义网规则描述语言SWRL的概念和特点的基础上,利用MPEG-7标准中的视觉描述子来描述图像的特征,采用本体建立图像的语义特征,将SWRL引入图像情感识别领域,利用SWRL构建推理规则。通过建立图像的本体信息和推理规则,并用规则推理出本体中隐含的信息,实现图像情感识别,使计算机具有一定的情感推理能力。     

浅析边远地区政府信息化的发展

电子政务是指政府机构运用现代网络通讯与计算机技术,将政府管理和服务职能通过精简、优化、整合、重组后在互联网上实现,以打破时间、空间以及条块分割的制约,从而加强对政府业务运作的有效监管,提高政府的运作效率,并为社会公众提供高效、优质、廉洁的一体化管理和服务。电子政务强调政府业务通过电子化手段运作及其实现过程,而电子政府则是通过电子化手段来运作政府业务特征的政府形态的描述。本文以位于内蒙古最西部的兴安盟为例,对边远地区发展政府信息化的重要性、现状、存在的问题和困难以及今后的发展提出了阐述。     

基于XML的UML模型向AADL模型的自动转换

UML已经成为复杂系统建模的工业标准,并可借助代码自动生成工具实现从分析到编码的开发过程自动化;AADL具有精确的语义和严格的语法规范,可用于描述嵌入式实时系统的软、硬件体系结构,并能分析系统的功能及非功能属性。 UML和AADL模型的基本元对象有相互对应关系,并且两种模型的表示都能够采用标准的XML的交换格式。为充分发挥两种语言的优势,文中研究了UML模型向AADL模型的自动转换,以XML为媒介实现两种模型的元对象的对应转换,最终达到两种模型的转换,使用户在设计阶段能够结合运用AADL、UML工具的优点对系统进行分析。     

非结构化文档敏感数据识别与异常行为分析

在海量数据中快速、准确地对数据进行分类分级,快速识别用户异常行为是目前数据安全领域的重要研究内容。在数据分类分级研究领域,自然语言处理技术提升了分类分级的准确率,但是中文语体混杂、无监督学习准确率低、有监督学习样本标注工作量大等问题亟待取得关键突破。本文提出多元中文语言模型和基于无监督算法构建样本,突破数据分类分级领域面临的关键问题。在用户异常行为分析研究领域,由于样本依赖度过高,导致异常行为识别准确率较低,本文提出利用离群点检测方法构建异常行为样本库,解决样本依赖过高问题。为验证方法可行性,进一步构建实验系统开展实验分析,通过实验验证所提出方法可以显著提高数据分类分级和异常行为分析的准确率。     

Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures

Improving the network interface performance is needed by the demand of applications with high communication requirements (for example, some multimedia, real-time, and high-performance computing applications), and the availability of network links providing multiple gigabits per second bandwidths that could require many processor cycles for communication tasks. Multicore architectures, the current trend in the microprocessor development to cope with the difficulties to further increase clock frequencies and microarchitecture efficiencies, provide new opportunities to exploit the parallelism available in the nodes for designing efficient communication architectures. Nevertheless, although present OS network stacks include multiple threads that make it possible to execute network tasks concurrently in the kernel, the implementations of packet-based or connection-based parallelism are not trivial as they have to take into account issues related with the cost of synchronization in the access to shared resources and the efficient use of caches. Therefore, a common trend in many recent researches on this topic is to assign network interrupts and the corresponding protocol and network application processing to the same core, as with this affinity scheduling it would be possible to reduce the contention for shared resources and the cache misses. In this paper we propose and analyze several configurations to distribute the network interface among the different cores available in the server. These alternatives have been devised according to the affinity of the corresponding communication tasks with the location (proximity to the memories where the different data structures are stored) and characteristics of the processing core. As this approach uses several cores to accelerate the communication path of a given connection, it can be seen as complementary to those that consider several cores to simultaneously process packets belonging to either the same or different connections. Message passing interface (MPI) workloads and dynamic web servers have been considered as applications to evaluate and compare the communication performance of these alternatives. In our experiments, performed by full-system simulation, improvements of up to 35% in the throughput and up to 23% in the latency have been observed in MPI workloads, and up to 100% in the throughput, up to 500% in the response time, and up to 82% in the requests attended per second have been measured in dynamic web servers.     

基于大数据平台的点负荷近中期负荷预测及行业负荷增长特征分析

为保障电力部门对于台区内设备的维护,需要预测台区的负荷。因此供电部门就必须具备预测未来一年以至更长时间的台区负荷的能力,防止因负荷过载对变压器造成损坏,并保证城市的可靠供电。对台区负荷的预测难点在于对于城中村的预测,城中村流动人口多,产业类型复杂多样,受就业环境、经济发展的影响深,表现为负荷的变化相较于其他的台区随机性更强。鉴于此原因,我们以大数据平台为依托,进行单因素变量的预测,采用季节分解模型对历史用电负荷进行季节分解;然后分别用线性回归和自回归积分滑动平均模型（ARIMA）对季节分解出来的趋势和季节、残差成分进行预测,获得精度良好的负荷预测模型,最后选择两个特征鲜明的行业进行比较,分析其负荷增长特征。     

A Manifesto for Agent Technology: Towards Next Generation Computing

The European Commission's eEurope initiative aims to bring every citizen, home, school, business and administration online to create a digitally literate Europe. The value lies not in the objective itself, but in its ability to facilitate the advance of Europe into new ways of living and working. Just as in the first literacy revolution, our lives will change in ways never imagined. The vision of eEurope is underpinned by a technological infrastructure that is now taken for granted. Yet it provides us with the ability to pioneer radical new ways of doing business, of undertaking science, and, of managing our everyday activities. Key to this step change is the development of appropriate mechanisms to automate and improve existing tasks, to anticipate desired actions on our behalf (as human users) and to undertake them, while at the same time enabling us to stay involved and retain as much control as required. For many, these mechanisms are now being realised by agent technologies, which are already providing dramatic and sustained benefits in several business and industry domains, including B2B exchanges, supply chain management, car manufacturing, and so on. While there are many real successes of agent technologies to report, there is still much to be done in research and development for the full benefits to be achieved. This is especially true in the context of environments of pervasive computing devices that are envisaged in coming years. This paper describes the current state-of-the-art of agent technologies and identifies trends and challenges that will need to be addressed over the next 10 years to progress the field and realise the benefits. It offers a roadmap that is the result of discussions among participants from over 150 organisations including universities, research institutions, large multinational corporations and smaller IT start-up companies. The roadmap identifies successes and challenges, and points to future possibilities and demands; agent technologies are fundamental to the realisation of next generation computing.     

海量大气颗粒物成分分析系统

2011年以来, 我国多地出现了雾霾天气, 对大气颗粒成分分析有助于人们了解雾霾形成的原因, 制订有效的应对措施. 本文的主要目的是对于大气颗粒物成分进行命名. 传统颗粒物的命名是在经验的基础上, 对颗粒进行逐个的命名. 若将该过程自动化, 难点有两个: 数据规模太大、人工经验难以量化. 本文使用数据挖掘的工具, 首先进行了一次聚类分析, 降低了数据规模. 为了解决人工经验难以量化的问题, 使用逻辑回归分类算法, 并进行了调优, 使正确率达到了业务处理的要求.     

CRUDi framework proposal: financial industry application

The alignment of information systems with the business goals of an organisation, although a topic of great importance, is not always properly valued or taken into consideration. In general, managers have different opinions to chief information officers (CIOs) in relation to IS, especially with regard to their importance and value to the business and also in terms of investment needs. Here, we discuss and study new approaches to methods and tools for assessing the relative importance of each information system to business, focusing on the financial sector including banks and insurance companies. We suggest the introduction of new key indicators for better decision support and to identify investment priorities, and present results regarding the relative importance of each process to support the business strategy. The primary goal for the inherent research project is to analyse the main problems and difficulties encountered by IS and IT managers, featuring different players and how they relate. The main contributions of this work are the CRUDi framework as a tool to improve alignment between business and IS strategies and the CRUDi survey and its results qualifying the financial sector's opinion regarding the relative importance of processes and investments.