GSN地震台网布局与组网

为中国全球地震台网建设的顺利进行,对全球地震台网(GSN)进行了调研。获得的GSN台网布局、组网、台站观测设备、数据传输方式等方面资料,为中国全球地震台网的建设提供了重要的参考信息。

基于GSN的校园网全面安全防护方案

本论文通过对校园网络安全现状和网络安全防护技术的分析,引出校园网全面安全防护的概念和方法,并对安全防护的技术手段进行分析,列出其防护的平台体系。结合本单位实际,利用GSN方案建立校园网安全防护体系。最后,对建立的防护体系进行效果分析说明。

地理社会网络数据可视化分析研究综述

随着移动互联网与社会网络的深度融合,基于位置服务(Location Based Service,LBS)的社交媒体应用更加流行,成为地理社会网络(Geo-Social Networks,GSN)的研究重点。基于位置信息的社会网络(Location Based Social Network,LBSN)由于具有时空特性,其海量数据可视化不同于传统信息可视化,必须结合其地理信息特征进行表达。该文以GSN中抽取出的海量时空数据为分析对象,从LBSN时空数据抽取、海量时空数据可视化等方面进行综述,对地理社会网络时空数据交互可视化分析技术开展研究,以期能够实现比较方便、快速、直接地从地理社会网络的海量数据中提取出有用、可靠、可知识化的综合信息,并通过信息可视化方式进行直观表达、展示与分析。

基于地理社交网络的频繁位置隐私保护算法

针对地理社交网络中以频繁位置为背景知识的攻击导致用户身份泄露的问题,提出一种基于地理社交网络的频繁位置隐私保护算法。首先,根据用户对位置访问的频次设置频繁位置并为每个用户建立频繁位置集合;然后按照背景知识的不同,将频繁位置的子集组成超边,把不满足匿名参数k的超边以用户偏离和位置偏离最小值为优化目标进行超边重组;最后,通过仿真实验表明,与(k,m)-anonymity算法相比,在频繁位置为3的情况下,该算法在Gowalla数据集上用户偏离度以及位置偏离度分别平均降低了约19.1%和8.3%,在Brightkite数据集上分别平均降低了约22.2%和10.7%,因此所提算法能够有效保护频繁位置的同时降低用户和位置偏离度。

基于GSM网络的短消息验证超市存包柜

开发了一种基于GSM网络的新型存包柜。采用短信收发等方式来存取物品,克服了已有存包柜的成本高、不够低碳环保、密码纸条容易丢失等缺点,使存包柜的使用变得更为方便和人性化。此外,柜子中还装有红外感应系统,可随时检测柜中是否有物品。使用柜子外侧的LED灯显示柜中是否存有物品,这在很大程度上能够帮助存物人避免将物品遗漏在存包柜中。

一种基于局域网的全局安全设计

主要针对局域网内的信息安全进行了一系列的组合设计,包括GSN硬软件组成部件介绍、GSN全局安全设计工作流程、GSN全局安全设计的典型部署模式、GSN全局安全设计功能使用等。通过软硬集合和层面设计,从身份、主机、网络等多个角度对网络安全进行监控、检测、防御和处理,以一套完整的组合构建了一个相当严密的网络安全体系。

Answering Non-Answer Questions on Reverse Top-k Geo-Social Keyword Queries

Due to the wide-spread use of geo-positioning technologies and geo-social networks,the reverse top-k geo-social keyword query has attracted considerable attention from both industry and research communities.A reverse top-k geo-social keyword(RkGSK)query finds the users who are spatially near,textually similar,and socially relevant to a specified point of interest.RkGSK queries are useful in many real-life applications.For example,they can help the query issuer identify potential customers in marketing decisions.However,the query constraints could be too strict sometimes,making it hard to find any result for the RkGSK query.The query issuers may wonder how to modify their original queries to get a certain number of query results.In this paper,we study non-answer questions on reverse top-k geo-social keyword queries(NARGSK).Given an RkGSK query and the required number M of query results,NARGSK aim to find the refined RkGSK query having M users in its result set.To efficiently answer NARGSK,we propose two algorithms(ERQ and NRG)based on query relaxation.As this is the first work to address NARGSK to the best of our knowledge,ERQ is the baseline extended from the state-of-the-art method,while NRG further improves the efficiency of ERQ.Extensive experiments using real-life datasets demonstrate the efficiency of our proposed algorithms,and the performance of NRG is improved by a factor of 1–2 on average compared with ERQ.

通信网络智能管控技术

科技的进步带来了通信技术的革新,当前中国的网络规模越来越大,网络结构也更加复杂,通信网络在愈发便利居民生活的同时,管控的难度也相应增加。文章从当前我国的通信网络管控现状着手,着重介绍PCC、WEB以及TMN这三种常见的智能管控系统,用以说明在通信网络管控中实现智能化的重要性,希望对您的通信网络管控工作有所帮助。

从图卷积网络到图散射网络:回顾与展望

在图像与图形处理中,非欧氏空间数据与传统欧氏空间数据共同构成了数据的不同表达形式。随着面向图像、音频等传统信号的处理技术已经发展了数十年并趋于成熟,诸如图等非欧氏空间数据的兴起,对非欧氏空间的数据处理提取提出了更高的要求。图卷积网络的出现将面向传统信号的深度学习网络模型和卷积操作拓展到了图上,在一定程度上解决了学术界和工业界对图信号处理的需求。然而,空域特征聚合的图卷积网络容易产生过平滑问题。本文回顾了从图卷积网络到图散射网络的发展进程,分别梳理空域图卷积网络和谱域图卷积网络;并以图卷积网络为桥梁引出了图散射网络,比较和总结了图散射网络的前沿的理论和方法。传统的谱域图卷积网络虽然可以通过滤波器设计避免过平滑问题,但由于可训练参数较少、输出特征比较单一,往往存在表达能力不足的问题。图散射网络的提出很好地解决了图卷积网络中存在的问题。一方面,图散射变换将面向传统信号的散射变换操作拓展到图信号处理上,通过多尺度小波分解提取图信号的多分辨率特征,在保证网络稳定性的前提下解决了空域图卷积网络的特征过平滑问题;另一方面,相较于传统的谱域图卷积网络,图散射网络输出能够提取多尺度带通特征,增强模型的表达能力,提高了图分类等任务的结果。最后分析了现有图散射技术和理论的局限性,并提出了未来图散射网络可能的研究方向。

A low-cost PDGNSS-based sensor network for landslide monitoring
challenges,possibilities,and prospects

Simple navigation receivers can be used for positioning with sub-centimeter accuracy in a wireless sensor network if the read-out of the carrier phase(CP)data is possible and all data are permanently broadcast to a central processing computer.At this base station an automated near real-time processing takes place and a precise differential GNSS-based positioning of the involved sensor nodes is computed.The paper describes the technical principles of such a system with its essential demands for the sensing,the communication,and the computing components.First experiences in a research project related to landslide monitoring are depicted.Of course the developed system can also be embedded for location finding in a widespread multifunctional geo sensor network.The quality of the obtained result is restricted due to the fact that the CP measurements must be recorded over a certain time span,usually a few minutes for every independent position solution.As far as possible a modular structure with commercial off-theshelf components,e.g.standard wireless local area network for communication,and in cooperation of existing proofed and powerful program tools is chosen.Open interfaces are used as far as possible.

Exploiting user behavior learning for personalized trajectory recommendations

With increasing popularity of mobile devices and flourish of social networks,a large number of trajectory data is accumulated.Trajectory data contains a wealth of information,including spatiality,time series,and other external descriptive attributes(i.e.,travelling mode,activities,etc.).Trajectory recommendation is especially important to users for finding the routes meeting the user’s travel needs quickly.Most existing trajectory recommendation works return the same route to different users given an origin and a destination.However,the users’behavior preferences can be learned from users’historical multi-attributes trajectories.In this paper,we propose two novel personalized trajectory recommendation methods,i.e.,user behavior probability learning based on matrix decomposition and user behavior probability learning based on Kernel density estimation.We transform the route recommendation problem to a shortest path problem employing Bayesian probability model.Combining the user input(i.e.,an origin and a destination),the trajectory query is performed on a behavior graph based on the learned behavior probability automatically.Finally,a series of experiments on two real datasets validate the effectiveness of our proposed methods.

锐捷网络数字化校园3+N+1解决方案

本文在分析了我国数字化校园的发展历程之后,主要阐述了锐捷网络数字化校园3+N+1解决方案的构架及其应用案例。