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    • 42. 发明申请
    • Method for Preparing and Checking Application Data
    • 准备和检查申请资料的方法
    • US20080189689A1
    • 2008-08-07
    • US11910527
    • 2006-04-05
    • Francesco TramontanaCydney Minkowitz
    • Francesco TramontanaCydney Minkowitz
    • G06F9/45
    • B61L21/04B61L27/0055G06F9/44589
    • Method for preparing and checking software means to be executed by programmable control devices or plants for carrying out processes, in which: a) a programming language for expressing the software means is provided, which language is based on an abstract syntax, particularly an object oriented syntax; b) the said programming language being generated from both the source code language and the object code language; c) expressing the control program in the said programming language; d) deriving the source code format and/or the object code format of the control program by translation of the said control program expressed in the language based on the abstract syntax into the language of the source code format and/or of the object code format of the abstract syntax.
    • 用于准备和检查软件的方法意味着由用于执行处理的可编程控制装置或工厂执行,其中:a)提供用于表达软件装置的编程语言,哪种语言基于抽象语法,特别是面向对象 句法; b)所述编程语言是从源代码语言和目标代码语言生成的; c)以所述编程语言表达所述控制程序; d)通过将基于抽象语法的语言表达的所述控制程序转换为源代码格式和/或目标代码格式的语言来得出控制程序的源代码格式和/或目标代码格式 的抽象语法。
    • 50. 发明申请
    • COMPLEX NETWORK-BASED HIGH SPEED TRAIN SYSTEM SAFETY EVALUATION METHOD
    • 基于复杂网络的高速火车系统安全评估方法
    • US20170015339A1
    • 2017-01-19
    • US15123684
    • 2015-11-27
    • BEIJING JIAOTONG UNIVERSITY
    • Limin JIAYong QINYanhui WANGShuai LINHao SHILifeng BILei GUOLijie LIMan LI
    • B61L99/00G06N99/00H04L29/08
    • B61L99/00B61L27/0055B61L27/0083G06F17/50G06N99/005H04L67/12
    • The invention discloses a complex network-based high speed train system safety evaluation method. The method includes steps as follows: (1) constructing a network model of a physical structure of a high speed train system, and constructing a functional attribute degree of a node based on the network model; (2) extracting a functional attribute degree, a failure rate and mean time between failures of a component as an input quantity, conducting an SVM training using LIBSVM software; (3) conducting a weighted kNN-SVM judgment: an unclassifiable sample point is judged so as to obtain a safety level of the high speed train system. For a high speed train system having a complicated physical structure and operation conditions, the method can evaluate the degree of influences on system safety when a state of a component in the system changes. The experimental result shows that the algorithm has high accuracy and good practicality.
    • 本发明公开了一种基于复杂网络的高速列车系统安全评估方法。 该方法包括以下步骤:(1)构建高速列车系统物理结构的网络模型,并根据网络模型构建节点的功能属性度; (2)提取组件故障之间的功能属性度,故障率和平均时间作为输入量,使用LIBSVM软件进行SVM训练; (3)进行加权kNN-SVM判断:判断为不可分类的采样点,以获得高速列车系统的安全等级。 对于具有复杂的物理结构和操作条件的高速列车系统,当系统中的部件的状态改变时,该方法可以评估对系统安全性的影响程度。 实验结果表明该算法精度高,实用性好。