图形界面中实时捕获控制台程序的标准输出的IDE实现

大多数IDE工具都可以在集成环境中调用特定的命令行（控制台）程序，实时捕获程序输出，并将捕获到的信息显示在图形界面的窗口中。本文针对GUI方式的Windows程序没有控制台．给出一个中介程序和一个工具程序，用这个中介程序调用工具程序并随时获取GUI程序的输出信息，将信息传回GUI程序。     

基于SEP3203的CF卡接口扩展及驱动程序设计

在嵌入式系统的中,通常需要一定的存储空间来存放系统程序、用户程序和其它数据.CF卡是目前使用较为广泛的存储设备,为方便数据交换,有必要在嵌入式系统中扩展CF卡接口.本文首先介绍了CF卡的基本结构、工作模式、内部寄存器和命令.然后基于SEP3203平台,介绍了工作在True IDE模式下CF卡的接口电路设计、基本读写操作流程以及在Fat16文件系统下的驱动程序设计.     

基于NT Server 4.0和BackOffice的Internet/Intranet实现方案

介绍了以MicrosoftNTServer4．0和MicrosoftBackOffice产品为基础实现企业Internet／Intranet的方案和实例．     

基于冗余S7-400H与Wincc的氢气压缩机控制系统改造与设计

介绍项目改造过程中,使用德国西门子公司PLC S7-400H冗余系统与Wincc V7.2改造原有项目,分别从硬件和软件两个方面进行比较详细的描述,改造后系统运行稳定,并对基于SCADA系统发展建设企业生产数据信息化构建企业工业4.0云数据进行初步探索。     

基于蓝牙4.0的GPU集群功耗测量系统设计

为了给GPU集群低功耗优化研究提供依据,在蓝牙4.0技术的基础上,设计了一种无线GPU集群功耗测量系统。给出系统的总体架构和硬件设计方案,详细介绍了电流传感器ACS711的测量原理,并针对蓝牙无线传感器网络中节点对耗电量的高要求,提出了一种基于RSSI的动态节能机制;然后对系统的性能参数进行了实验分析,其丢包率和测量误差分别为0.01%和0.65%;最终将系统部署到"大规模3G视频分析GPU集群"上进行实际测试研究。实验结果表明,系统性能稳定,丢包率低,测量误差小,能准确测量GPU集群的实时功耗。     

基于统计过程控制的水清洗控制系统

为了将水清洗机接入工业网络并实现智能自动化控制,本文提出了一种基于统计过程控制(SPC)可重构程序的水清洗控制系统.该系统根据水清洗设备的参数和组件特性构建了该设备的控制协议;根据协议指令制定了指令判断模块;根据SPC理论设计了过程控制模块.控制协议让该系统的清洗程序具有重构和联网的功能;指令判断模块为重构后的指令提供了安全性保障;过程控制模块让该系统的清洗过程具备动态调整清洗组件的功能.这些功能使得该设备可以实现智能自动化控制.通过测试,该系统比原有系统的清洗次数平均减少了15%,水清洗液的使用率提升了约5%,并扩展了3项功能,提高了设备的利用率和智能化水平,最终满足节能省水、多用途和联网的需求.     

Visual Analytics for Exploring Local Impact of Air Traffic

The environmental and noise impact of airports often causes extensive political discussion which in some cases even lead to transnational tensions. Analyzing local approach and departure patterns around an airport is difficult since it depends on a variety of complex variables like weather, local and general regulations and many more. Yet, understanding these movements and the expected amount of flights during arrival and departure is of great interest to both casual and expert users, as planes have a higher impact on the areas beneath during these phases. We present a Visual Analytics framework that enables users to develop an understanding of local flight behavior through visual exploration of historical data and interactive manipulation of prediction models with direct feedback, as well as a classification quality visualization using a random noise metaphor. We showcase our approach using real world data from the Zurich International Airport region, where aircraft noise has led to an ongoing conflict between Germany and Switzerland. The use cases, findings and expert feedback demonstrate how our approach helps in understanding the situation and to substantiate the otherwise often subjective discourse on the topic.     

Intelligent Intrusion Detection System for Industrial Internet of Things Environment

Rapid increase in the large quantity of industrial data, Industry 4.0/5.0 poses several challenging issues such as heterogeneous data generation, data sensing and collection, real-time data processing, and high request arrival rates. The classical intrusion detection system (IDS) is not a practical solution to the Industry 4.0 environment owing to the resource limitations and complexity. To resolve these issues, this paper designs a new Chaotic Cuckoo Search Optimization Algorithm (CCSOA) with optimal wavelet kernel extreme learning machine (OWKELM) named CCSOA-OWKELM technique for IDS on the Industry 4.0 platform. The CCSOA-OWKELM technique focuses on the design of feature selection with classification approach to achieve minimum computation complexity and maximum detection accuracy. The CCSOA-OWKELM technique involves the design of CCSOA based feature selection technique, which incorporates the concepts of chaotic maps with CSOA. Besides, the OWKELM technique is applied for the intrusion detection and classification process. In addition, the OWKELM technique is derived by the hyperparameter tuning of the WKELM technique by the use of sunflower optimization (SFO) algorithm. The utilization of CCSOA for feature subset selection and SFO algorithm based hyperparameter tuning leads to better performance. In order to guarantee the supreme performance of the CCSOA-OWKELM technique, a wide range of experiments take place on two benchmark datasets and the experimental outcomes demonstrate the promising performance of the CCSOA-OWKELM technique over the recent state of art techniques.     

低成本无人飞行器机载数据记录仪的设计与实现

针对无人飞行器机载数据记录仪的应用背景和使用要求,设计了一种新型、低成本的软硬件系统.根据飞行器的姿态数据、制导指令和执行机构等信号采集记录要求,提出了一种基于SOPC(system on a programmable chip)的数据记录仪总体设计结构.记录仪实现了系统脉冲启动和信号采集隔离等要求;采用固态电子硬盘作...     

嵌入式大容量数据采集系统设计

设计了一种基于AT91RM9200微处理器的工业监控现场嵌入式大容量数据采集系统,简化了现场设备层的布线难度,减小了现场设备模拟信号在传输过程中的衰减程度,为后期设备故障诊断和趋势预测提供了更为精确的数据信息。