基于分布式中间件ICE的应用架构研究

在分布式系统中,分布式平台之间的差异增加了开发的复杂性.基于一种轻量级的分布式中间件ICE,提出了在分布式异构环境中的一般架构模型.该模型可以降低模块之间的耦合度,解决服务器负载过大的问题.将该模型应用到网络安全管理系统中,解决了网络安全管理系统中平台差异问题和服务器负载均衡问题.     

S7—200系列PLC与监控计算机通讯的几种实现方法

针对控制系统中上位机与S7—200系列PLC通讯的实际问题,总结了几种监控计算机与S7—200系列PLC实现数据通讯的方法。实际应用表明,这些方法分别在不同的控制环境中能较好地解决它们之间的数据通讯问题。     

DLMS/COSEM电能表通信协议在自动抄表系统中的应用

在各种电能表通信协议标准中,DLMS/COSEM电能表通信协议是适用于不同制造厂家和仪表型号,并能满足电能表全部应用的具有互操作性的通信协议。本文介绍了DLMS/COSEM电能表通信协议的互操作性和兼容性,并介绍了其在自动抄表系统中的实际应用。     

无线传感器网络中的隐私保护研究

随着无线传感器网络的广泛应用,安全问题发生变化,通信安全成为重要的一部分,隐私保护日渐重要。首先分析了无线传感器网络的通信安全特点、通信安全的需求、面临的保密性威胁及攻击模型。最后,基于对无线传感器网络隐私保护问题的分析和评述,指出了今后该领域的研究方向。     

证券行情库实时传送系统的研究

在分析了证券行情库结构的基础上,详细介绍了开发证券行情库实时传送系统的过程.     

自动称重系统中PLC与上位机串口通信的实现

利用西门子CP340自带的串口通讯协议394R,并根据自动称重系统中重量数据格式的要求自定义应用层协议,用VC＋＋60编写应用程序,实现自动称重系统中计算机实时从PLC中读取重量数据。     

混沌系统在保密通信中的应用

混沌保密通信是当今研究热门课题之一。本文就混沌系统应用于保密通信中的基本理论, 编码方式和密钥等内容作一简要讨论, 并采用一次一密密码体制,用损耗调制ＣＯ２ 激光器混沌系统的输出作为密钥分别对文本文件、图形文件进行加密和解密。这种一次一密加密方式是不可破译的     

Forced consensus in networks of double integrator systems with delayed input

This communique presents forced second-order consensus protocols with communication time-delays for the network of agents with double integrator dynamics and gives a measure of the robustness of the protocols to the communication time-delays. By employing a frequency domain method, it is proven that the forced consensus is achieved asymptotically for appropriate time-delay if the network is connected. Particularly, the maximum fixed time-delay that can be tolerated by the network is found. The forced consensus protocols are distributed in the sense that each agent only needs information from its neighboring agents, which reduces the complexity of connections between agents significantly. Numerical simulation results are provided to demonstrate the effectiveness and the sharpness of the theoretical results.     

移动通讯及动态Web在原油计量中的应用

针对传统人工抄表计量方式存在的不足,利用先进的移动通讯技术和动态Web技术研制开发了新一代油田计量站原油分站计量系统,实现了计量数据的自动采集、无线远程传输和网络发布共享。     

Knowledge search and people with high epistemic curiosity

Porter sites have tried to increase their business potentials by helping users easily engage in diverse online activities such as search, entertainment, online communities, and others. Knowledge search engine is one of the most successful killer applications increasing user loyalty. However, most studies have independently focused on search engine technology such as search keyword algorithm, presentation of information and user characteristics such as cognitive style, search experiences, and skill levels. However, these previous studies lack an integrated understanding of causal links among critical factors predicting user motives and intention involving more situation-specific user characteristics. To fill these gaps in the literature, the present study focuses on whether knowledge characteristics such as specialization, preciseness, and diversity, and system characteristics such as interactivity, responsiveness, and communication richness are important in forming user motives and intention. The present study also identifies a moderating role of epistemic curiosity in the links between motives and intention. Two hundred and fifty-five data from Korean university students confirmed that knowledge and services characteristics such as specialty, preciseness, diversity, communication richness improve user motives, which have a positive impact on intention. Epistemic curiosity has a moderating effect on the links between motives and intention. Theoretical and practical implications are discussed in conclusion.