德国双元制教育模式及对我国高等职业教育的启示

德国的双元制教育模式是世界上最先进的职业教育模式之一。从双元制职业教育的发展背景、动态及这种教育模式的具体实施出发,阐述这种教育模式对我国高等职业教育的借鉴和启示。     

Real-time fault detection method based on belief rule base for aircraft navigation system

Real-time and accurate fault detection is essential to enhance the aircraft navigation system’s reliability and safety. The existent detection methods based on analytical model draws back at simultaneously detecting gradual and sudden faults. On account of this reason, we propose an online detection solution based on non-analytical model. In this article, the navigation system fault detection model is established based on belief rule base (BRB), where the system measuring residual and its changing rate are used as the inputs of BRB model and the fault detection function as the output. To overcome the drawbacks of current parameter optimization algorithms for BRB and achieve online update, a parameter recursive estimation algorithm is presented for online BRB detection model based on expectation maximization (EM) algorithm. Furthermore, the proposed method is verified by navigation experiment. Experimental results show that the proposed method is able to effectively realize online parameter evaluation in navigation system fault detection model. The output of the detection model can track the fault state very well, and the faults can be diagnosed in real time and accurately. In addition, the detection ability, especially in the probability of false detection, is superior to offline optimization method, and thus the system reliability has great improvement.     

Short-arc tracklet association for geostationary objects

Measurement association and initial orbit determination is a fundamental task when building up a database of space objects. This paper proposes an efficient and robust method to determine the orbit using the available information of two tracklets, i.e. their line-of-sights and their derivatives. The approach works with a boundary-value formulation to represent hypothesized orbital states and uses an optimization scheme to find the best fitting orbits. The method is assessed and compared to an initial-value formulation using a measurement set taken by the Zimmerwald Small Aperture Robotic Telescope of the Astronomical Institute at the University of Bern. False associations of closely spaced objects on similar orbits cannot be completely eliminated due to the short duration of the measurement arcs. However, the presented approach uses the available information optimally and the overall association performance and robustness is very promising. The boundary-value optimization takes only around 2% of computational time when compared to optimization approaches using an initial-value formulation. The full potential of the method in terms of run-time is additionally illustrated by comparing it to other published association methods.     

飞机结构修理手册编制研究

首先介绍了飞机结构修理手册的编制要求和编制依据,其次分别阐述了依据ATA2200和S1000D标准进行飞机结构修理手册编写的方法,最后比较两种标准的特点,并对大型客机结构修理手册的编制工作提出了初步建议。     

二阶多项式自治系统代数曲线解的判定法

为了以解析的方法和代数的方法寻求二阶多项式自治系统的代数曲线解，并为进一步研究非线性系统的可积性和得域上多项系统的定理论，证明了关于复域上二元多项式的一个整除定理，并以ＶａｎＤｅｒＰｏｌ程及一个二阶二次自治系统为例，说明这一整除定量可以作为二阶多项自治系统是否存在代数曲线解的主要判据。     

一种基于模糊遗传算法的多传感器多目标跟踪数据关联算法

基于模糊遗传算法发展了一种新的数据关联算法。数据关联的静态部分靠一个模糊遗传算法来得出量测组合序列和S-D分配的m个最优解。在数据关联的动态部分，将得到的S-D分配的m个最优解在一个基于多种群模糊遗传算法的动态2D分配算法中依靠一个卡尔曼滤波估计器估计出移动目标各个时刻的状态。这一基于分配的数据关联算法的仿真试验内容为被动式传感器的航迹形成和维持的问题。仿真试验的结果表明该算法在多传感器多目标跟踪中应用的可行性。另外，对算法发展和实时性问题进行了简单讨论。     

多媒体智能数据库系统MIDS／BUAA

ＩＤＢ（智能数据库）思想的提出，预示着人类的信息处理即将步入一个崭新的时代．ＩＤＢ将计算机科学中近年来日趋发展成熟的五大主要技术，ΟΟ（面向对象）技术、ＤＢ（数据库）技术、ＡＩ（人工智能）、Ｈｙｐｅｒｔｅｘｔ／Ｈｙｐｅｒｍｅｄｉａ（超文本／超媒体）和正文数据库与联机信息检索技术，集成为一体．其中ΟΟ、ＡＩ和ＤＢ是ＩＤＢ中的三大支柱技术．本文论述ＭＩＤＳ／ＢＵＡＡ数据模型（Ｄａｔａｍｏｄｅｌｉｎｇ）的哲学，并介绍ＭＩＤＳ／ＢＵＡＡ系统的设计思想、动机、核心数据模型，系统的功能构成和它的Ｃｌｉｅｎｔ／Ｓｅｒｖｅｒ体系结构．     

基于二维表的频繁集组合方法

挖掘关联规则时,频度集的计算是一个关键问题。现有算法大多从apriori,fp-growth算法演化而来,这些方法都存在有组合爆炸问题:apriori算法是候选模式造成的,而fp-growth算法是条件模式基造成的。因此,对于具有稠密数据的事务数据库现有的方法无法完成频度集的计算,即使是现有最好的fp-growth算法。将给出一种基于迭代思想的频度集计算方法,既不用频繁扫描数据又不用组合计算,实验表明此方法是十分有效的频度集计算方法。     

基于参数化关联技术的冲裁模具设计研究

对于相似性零件冲压模具重复设计和零件更改造成的模具重新设计的问题,参数化关联技术是主要的解决途径之一.本文研究了参数关联的理论和方法,研究了参数的传递的方法,以冲裁模具的设计为例,介绍了冲裁模具参数化关联技术的具体实现,并应用CATIA二次开发方法进行基于参数化关联技术的冲裁模具设计.实现了冲裁模具的快速设计,在设计依据发生更改时模具设计能够随之进行快速更新,从而提高了设计效率.     

基于模式矩阵的液体火箭发动机试车台故障关联规则挖掘

为发现试车台状态变量与其工作状况的关联关系,本文对液体火箭发动机试车台历史测试数据进行关联规则挖掘,对试车台状态参数进行选择和编码,使用自适应阈值算法对测试数据进行离散化,引入模式矩阵用于计算事务数据库中的频繁项集,提出了基于模式矩阵的关联规则挖掘方法,并将该方法应用于对多组历史测试数据进行频繁项集挖掘,对挖掘结果的分析表明:与传统方法相比,本文方法效率高,计算量小,挖掘结果能正确反映试车台状态变量与其工作状况间的关联规则,为试车台的测试数据挖掘提供了一种有效方法.