智能交流接触器与现场总线

本文在分析智能接触器发展前景的基础上，结合现场总线说明数据通讯能力对于接触器监控的重要性。利用计算机强大的图形处理和数据计算能力。将工业现场一定数量的接触器应用现场总线组成控制局域网，通过监控计算机实施本地或远程监控和管理。     

基于CAN总线DZY300型运梁车转向系统设计与工程实现

本文介绍了上海磁悬浮工程专用DZY300型运梁车的转向系统设计原理与实现过程。以CAN总线为基础，来实现转角信号的实时检测和电液比例阀的远端控制；从而利用总线通讯技术，实现了大闭环控制系统。在采用经典PID控制律时，针对工程实际情况进行了改进。理论充分与实际相结合，保证调节实时性的同时，有效地解决了转向系统中出现的超调振荡、反复微调节和调节不平稳现象。     

水厂生产运行管理决策支持系统的开发

介绍了水厂生产管理决策支持系统的设计原理和方法，其中主要讲述了数据库和知识库的建立，并阐述了该系统的运行功能、管理和维护方法。     

Development of a Composite Knowledge Manipulation Tool: K-Expert

A goal of this study is to develop a Composite Knowledge Manipulation Tool (CKMT). Some of traditional medical activities are rely heavily on the oral transfer of knowledge, with the risk of losing important knowledge. Moreover, the activities differ according to the regions, traditions, experts’ experiences, etc. Therefore, it is necessary to develop an integrated and consistent knowledge manipulation tool. By using the tool, it will be possible to extract the tacit knowledge consistently, transform different types of knowledge into a composite knowledge base (KB), integrate disseminated and complex knowledge, and complement the lack of knowledge. For the reason above, I have developed the CKMT called as K-Expert and it has four advanced functionalities as follows. Firstly, it can extract/import logical rules from data mining (DM) with the minimum of effort. I expect that the function can complement the oral transfer of traditional knowledge. Secondly, it transforms the various types of logical rules into database (DB) tables after the syntax checking and/or transformation. In this situation, knowledge managers can refine, evaluate, and manage the huge-sized composite KB consistently with the support of the DB management systems (DBMS). Thirdly, it visualizes the transformed knowledge in the shape of decision tree (DT). With the function, the knowledge workers can evaluate the completeness of the KB and complement the lack of knowledge. Finally, it gives SQL-based backward chaining function to the knowledge users. It could reduce the inference time effectively since it is based on SQL query and searching not the sentence-by-sentence translation used in the traditional inference systems. The function will give the young researchers and their fellows in the field of knowledge management (KM) and expert systems (ES) more opportunities to follow up and validate their knowledge. Finally, I expect that the approach can present the advantages of mitigating knowledge loss and the burdens of knowledge transformation and complementation.     

Data-mining based SQL injection attack detection using internal query trees

Detecting SQL injection attacks (SQLIAs) is becoming increasingly important in database-driven web sites. Until now, most of the studies on SQLIA detection have focused on the structured query language (SQL) structure at the application level. Unfortunately, this approach inevitably fails to detect those attacks that use already stored procedure and data within the database system. In this paper, we propose a framework to detect SQLIAs at database level by using SVM classification and various kernel functions. The key issue of SQLIA detection framework is how to represent the internal query tree collected from database log suitable for SVM classification algorithm in order to acquire good performance in detecting SQLIAs. To solve the issue, we first propose a novel method to convert the query tree into an n-dimensional feature vector by using a multi-dimensional sequence as an intermediate representation. The reason that it is difficult to directly convert the query tree into an n-dimensional feature vector is the complexity and variability of the query tree structure. Second, we propose a method to extract the syntactic features, as well as the semantic features when generating feature vector. Third, we propose a method to transform string feature values into numeric feature values, combining multiple statistical models. The combined model maps one string value to one numeric value by containing the multiple characteristic of each string value. In order to demonstrate the feasibility of our proposals in practical environments, we implement the SQLIA detection system based on PostgreSQL, a popular open source database system, and we perform experiments. The experimental results using the internal query trees of PostgreSQL validate that our proposal is effective in detecting SQLIAs, with at least 99.6% of the probability that the probability for malicious queries to be correctly predicted as SQLIA is greater than the probability for normal queries to be incorrectly predicted as SQLIA. Finally, we perform additional experiments to compare our proposal with syntax-focused feature extraction and single statistical model based on feature transformation. The experimental results show that our proposal significantly increases the probability of correctly detecting SQLIAs for various SQL statements, when compared to the previous methods.     

流程加工CAN测控网络的应用层协议研究

为提高CAN测控网络的适应性和通信效率,以CAN2.0A技术规范为基础,针对流程加工测控网络的特点,设计面向流程加工领域的CAN总线应用层协议ProCAN。在明确流程加工概念及范围的基础上,分析流程加工测控系统结构模型的特征,提出通信报文的类型,定义标准数据帧仲裁域与数据域的编码格式,并讨论ProCAN协议的通信模式、通信状态、通信异常及长报文误帧重传控制。利用OPNET网络仿真软件进行实验,结果表明,ProCAN协议能实现报文通信,并且具有延时短、实时性强、可靠性高的特点,尤其当网络负载较大时,效果更为明显。     

冲压式舵机动态特性测试系统的研制

为了在实验室条件下模拟冲压式舵机的舵面在空中所受的气动载荷,实现舵机系统动态性能指标的综合检测,设计了基于PXI总线的舵机动态测试系统,工作过程中对舵偏角信号、工作电流信号、扭矩信号进行实时采集、显示,并配合测试流程完成对舵机动态性能的测试。设计中重点考虑了定刚度加载系统的小扭矩加载精度、小转动惯量以及同轴度问题。实验结果表明,该测试系统测试精度高、使用维护方便,满足要求。     

基于仿真卡的通用1553B总线测试软件设计

1553B总线通信是航天器终端设备的重要功能,在研制各阶段,对设备的总线通信功能进行测试是必不可少的。基于总线仿真卡进行二次开发,提出一种通用1553B总线测试软件设计方法,采用总线消息描述文件和设备参数描述文件分别描述总线消息和设备参数,设计通用程序模块,使软件代码不依赖总线消息或设备参数的具体定义。所述方法已在某航天器多个分系统测试中得以应用。     

机车车载漏电流数字传感器研究与应用

介绍一种机车车载漏电流数字传感器的研究与应用,在模拟漏电流传感器的基础上,经数字化改进而实现.硬件设计采用ARM平台,在分析系统原理的基础上,完成了硬件系统和软件架构的设计,完成了单线和双线的模拟实验.经模拟实验验证检测准确、反应快速,通信采用CAN总线安全可靠.在实际测量中,验证了模拟实验的正确性,设计可行.