单片机船舶电网谐波分析仪的设计与研究

本文介绍了快速傅立叶变换的离散算法,并在此基础上设计程序。设计所用的分析信号由电网电压经互感器得到,所用单片机型号为dsPIC30F4011,安装在APP009实验电路板上。程序设计部分主要包括A／D转换部分及FFT变换部分等。实验中,通过A／D转换进行采样,得到一组离散的采样点,通过快速傅立叶变换（FFT）对采样信号进行频谱分析．实验结果表明该测试仪可以实现对电网的各次谐波进行有效检测。     

一种域控制器片内及片外时间同步的方法

目前整车E/E架构由于面临来自不同控制器和传感器的数据交互需求而变得愈加复杂,所需要解决的问题包括:功能复杂性,通信带宽,计算能力,灵活性,可拓展性等。其中域控制器上层应用算法对获取数据的同步尤其敏感,数据融合需要针对同一时间点获取到的数据做融合处理。因此,对域控制器内部的异构多核、外部控制器数据以及传感器数据时间同步的研究尤其重要。基于此,文章详细介绍了域控制器片内及片外时间同步的方法,解决了域控制器内外部数据时间不同步的技术缺陷。     

材料性能数据管理平台开发及应用

材料性能参数是设计研发阶段产品设计仿真的基础,也是产品最终使用性能的保障。基于此,文章通过对国内外材料数据管理系统及发展趋势研究,基于目前流行的B/S架构,采用MVC分层设计模式,进行了材料数据发布、分析、应用和废止的全生命周期管理平台系统的开发,能够支持材料数据管理、对比分析,并能输出分析软件直接使用的材料卡片,实现同工程分析的无缝对接。材料性能数据管理平台在材料数据管理和应用层面具有很好的实用价值。     

Less is More： Data Processing with SVM for Intrusion Detection

To improve the detection rate and lower down the false positive rate in intrusion detection system,dimensionality reduction is widely used in the intrusion detection system.For this purpose,a data processing (DP) with support vector machine (SVM) was built.Different from traditionally identifying the redundant data before purging the audit data by expert knowledge or utilizing different kinds of subsets of the available 41-connection attributes to build a classifier,the proposed strategy first removes the attributes whose correlation with another attribute exceeds a threshold,and then classifies two sequence samples as one class while removing either of the two samples whose similarity exceeds a threshold.The results of performance experiments showed that the strategy of DP and SVM is superior to the other existing data reduction strategies (e.g.,audit reduction,rule extraction,and feature selection),and that the detection model based on DP and SVM outperforms those based on data mining,soft computing,and hierarchical principal component analysis neural networks.     

求解多目标跟踪中数据互联问题的数字网络结构研究

在多目标跟踪情况下,求解数据互联问题要求计算把第i个量测分配给第t个目标的概率βi^t。该文阐述了求解数据互联概率βi^t的神经网络方法,介绍了具有神经元网络结构的数字实现,并分析了该神经元网络结构的稳定性和收敛性。     

The influence of the road network on private productivity measures using Data Envelopment Analysis: A case study from Spain

We evaluate the economic effects of investment in the road network on private regional activity. We employ provincial Spanish panel data from 1980 to 2007 to perform non-parametric frontier techniques based on Data Envelopment Analysis and to obtain the Malmquist productivity indexes, thus enabling us to examine the evaluation of the productivity growth via technological changes or efficiency gains. Additionally, we analyze the role of transport infrastructure on the evolution of Total Factor Productivity and its components through econometric techniques. Our results show important spillover effects. Moreover, our findings have significant implications for policy makers if we take into account the fact that the use of the road network in economic activity or in commercial relations greatly influences productivity growth.     

Inferring patterns in the multi-week activity sequences of public transport users

The public transport networks of dense cities such as London serve passengers with widely different travel patterns. In line with the diverse lives of urban dwellers, activities and journeys are combined within days and across days in diverse sequences. From personalized customer information, to improved travel demand models, understanding this type of heterogeneity among transit users is relevant to a number of applications core to public transport agencies’ function. In this study, passenger heterogeneity is investigated based on a longitudinal representation of each user’s multi-week activity sequence derived from smart card data. We propose a methodology leveraging this representation to identify clusters of users with similar activity sequence structure. The methodology is applied to a large sample (n = 33,026) from London’s public transport network, in which each passenger is represented by a continuous 4-week activity sequence. The application reveals 11 clusters, each characterized by a distinct sequence structure. Socio-demographic information available for a small sample of users (n = 1973) is combined to smart card transactions to analyze associations between the identified patterns and demographic attributes including passenger age, occupation, household composition and income, and vehicle ownership. The analysis reveals that significant connections exist between the demographic attributes of users and activity patterns identified exclusively from fare transactions.     

贯彻《铁路数据通信网设计规范》积极促进铁路数据通信网发展

《铁路数据通信网设计规范》已经发布实施。概述了铁路数据通信网承载的业务,提出铁路数据通信网工程设计应遵循的共性要求,介绍了在网络结构、业务接入、路由策略、MPLSVPN部署、QoS、网络安全等方面的工程设计中,应如何理解、贯彻重点内容。     

计算机口令设置的要求与技巧

我们已进入信息化社会,很多人都需要利用计算机处理每天的学习和工作,当我们在网上使用一些如邮箱、聊天、网上银行等功能时,需要设置口令来保护自己的信息,本文介绍了黑客攻击用户帐户的常用方法,用户设置口令的要求与技巧。     

基于关联规则的舰艇故障诊断数据挖掘系统结构框架

该文针对许多舰艇故障现象不能用结构化的数据来表达 ,基于规则推理的传统专家系统对规则提取又是相当困难 ,提出了一种以过去已有的大量诊断案例和可能发生的故障和排除方案作为知识的来源 ,基于关联规则的舰艇故障诊断数据挖掘系统结构框架 ,并讨论了舰艇装备系统单层次故障和多层次故障关联规则的挖掘。