Location-based service using ontology-based semantic queries: A study with a focus on indoor activities in a university context

Much research on three-dimensional (3D) indoor geographic information systems (GIS) to date has been focused on 3D topological modeling in the context of emergency management and response. Besides emergency situations, however, little is known about other human activities and the effective use and retrieval of semantically relevant information about such activities based on route analysis in complex buildings regarding 3D indoor GIS. This study proposes a location-based service (LBS) using ontology-based semantic queries with a focus on the indoor activities in a university context. An ontology model called ‘University activity ontology’ is designed with regard to the indoor activities at a university for sharing, managing and querying data semantically. In particular, reasoning rules are created for semantic queries to retrieve and provide information about places relevant to a destination with keywords given by users. A 3D network-based topological data model is generated by connecting a road network model and indoor topological network model to calculate the shortest path from an outdoor/indoor location to an indoor destination of interest selected by users among suggested choices. For the implementation, a location-based GIS application is developed based on the Android operating system (OS) with interactive two-dimensional (2D) and 3D visualization.     

基于室内外定位技术的消防应急指挥平台的设计与实现

针对目前高层建筑消防缺少室内定位和室内地图支持的问题,结合当前室内定位技术并利用GIS技术研发了一个消防应急指挥平台原型系统。该平台解决了室内外地图服务,室内外定位信息的跟踪显示以及消防员手持终端、指挥中心指挥系统及移动指挥系统间的信息共享与同步等关键问题。基于该平台,可为消防应急指挥和救援提供室内外地图及定位信息服务,对消防应急指挥能力的提升具有较高的应用价值和广泛的应用前景。     

基于RFID的校园导航系统的设计与实现

随着GIS、LBS技术和移动互联网技术等核心技术的发展,服务于普通大众的个人导航系统成为应用热点。室内行走引导是个人导航系统的核心之一,其中涉及的室内定位技术一直是研究的难点之一。基于固定式RFID标签群,生成室内位置地图,将随身移动式RFID读写器和个人智能手机相结合,完成室内定位、路径计算和导航提醒。基于上述设计方案,完成了一个基于RFID的南京大学校园导航系统,并将其投入了实际使用。     

A real-time indoor localization approach integrated with a Geographic Information System (GIS)

Nowadays, accurate maps from mostly anywhere in the world can be obtained for free, with the exception of indoor spaces. However, the evidence seems to suggest that in the next few years indoor maps will be more and more available for anyone. Thus, profiting from the idea of easily obtainable indoor maps, we present a novel approach for real-time mobile robot localization that focuses on spatial reasoning at a high abstraction level. In order to manage and query existing indoor spatial models, we rely on the power of Geographic Information Systems (GIS) and spatial databases. Moreover, to extract symbolic information from the environment, we have developed a door detection system that fuses 2D laser and vision data. We have integrated these two ideas into an extended Kalman filter localization framework. Our proposal has been implemented and tested through autonomous navigation missions in real-world scenarios. Extensive experimental results are provided, which show robustness and accuracy concerning both door detection and localization.     

虚拟游戏场景中的模型研究

游戏游戏建筑模型是虚拟虚拟游戏模型中的基本对象,已有的对游戏建筑的表示局限于某一层次级别,比如块模型、带屋顶的模型、结构模型和室内模型.引入了连续层次级别这一概念来对地理信息系统中的建筑进行表示和建模,而连续层次级别方法统一了虚拟三维游戏模型中不同类型的建筑的表示.     

A grid-based spatial data model for the simulation and analysis of individual behaviours in micro-spatial environments

As crowd simulation in micro-spatial environment is more widely applied in urban planning and management, the construction of an appropriate spatial data model that supports such applications becomes essential. To address the requirements necessary to building a model of crowd simulation and people–place relationship analysis in micro-spatial environments, the concept of the grid as a basic unit of people–place data association is presented in this article. Subsequently, a grid-based spatial data model is developed for modelling spatial data using Geographic Information System (GIS). The application of the model for crowd simulations in indoor and outdoor spatial environments is described. There are four advantages of this model: first, both the geometrical characteristics of geographic entities and behaviour characteristics of individuals within micro-spatial environments are involved; second, the object-oriented model and spatial topological relationships are fused; third, the integrated expression of indoor and outdoor environments can be realised; and fourth, crowd simulation models, such as Multi-agent System (MAS) and Cellular Automata (CA), can be further fused for intelligent simulation and the analysis of individual behaviours. Lastly, this article presents an experimental implementation of the data model, individual behaviours are simulated and analysed to illustrate the potential of the proposed model.     

A 3D GIS-based interactive registration mechanism for outdoor augmented reality system

Registering virtual objects with reference to their corresponding real-world objects plays a key role in augmented reality (AR) system. Although there have been a lot of work on using vision-based method to perform registration for indoor AR system, it is very difficult to apply such registration method for outdoor AR system due to the inability to modify the objects in outdoor environment and the huge range of working area. 3D Geographic Information System (GIS) is capable of providing an outdoor virtual geographic environment where users are located at, which may provide users with a corresponding virtual object for the one in the physical world. In this study, a 3D GIS-based registration mechanism is proposed for outdoor AR system. Specifically, an easy-use interactive method for precise registration was developed to improve the performance of the registration. To implement the registration mechanism, an outdoor AR system built upon 3D GIS was developed, named Augmented Reality Geographical Information System (ARGIS). ARGIS has the capability of performing precise registration in outdoor environment without using traditional vision tracking method, which thus enables users to arbitrarily manipulate the system. A prototype was developed to conduct experiment on the campus of Peking University, Beijing, China to test the proposed registration mechanism. The experiment shows that the developed registration mechanism is feasible and efficient in the outdoor environment. The ARGIS is expected to enrich the applications of outdoor AR system, including but not limited to underground facility mapping, emergency rescue and urban planning.     

21世纪GIS发展趋势及误区分析

21世纪是一个信息时代,它带给GIS的是机遇和挑战,带给GIS工作者的是对GIS未来的思考。在对GIS的发展进行总结的基础上,首先分析了21世纪GIS发展的若干趋势:WebGIS、无线WebGIS、3S集成的进一步研究、3D/4DGIS的完善和发展、GIS数据真正意义上的共享、CyberGIS的出现和发展,以及GIS组件库的社会化生产。同时分别指出了发展的关键问题所在;然后针对GIS发展过程中存在的一些问题,讨论了在GIS发展中应该避免的误区。     

一种改进的室内wsn仿真模型

针对室内无线传播模型具有多径传播效应的特性和无线传感器网络协议栈的特点,提出了一种改进的室内无线传感器网络仿真方法。方法使用阴影模型模拟室内无线传播模型的多径传播效应,结合常用的无线传感器网络节点芯片的性能参数预测出无线信号在室内的实际传输距离,并在NS2中以该无线信道模型为基础,以无线传感器网络协议栈为标准,建立了一个改进的室内无线传感器网络仿真模型。仿真模型的测试结果表明该模型在数据包投递率及网络剩余能量的比率上与实际室内无线传感器网络的性能相似。证明建立的模型能为室内无线传感器网络的实际布网和应用提供可靠的依据。     

超宽带室内定位系统

综述了超宽带技术和室内定位技术的主要特性,总结了无线电室内定位系统的室内定位的优点,并对现有的超宽带室内无线电定位系统进行了分析,最后阐述了室内定位系统的主要发展方向.     

基于高精度室内位置感知的大数据研究与应用

随着室内定位技术的发展,室内位置数据和用户消费行为数据的大量产生为室内位置大数据(LBD)研究和应用提供了可能。基于高精度室内位置感知,突破了室内定位位置数据不准确的瓶颈。通过对室内位置数据聚类、降维等预处理,建立挖掘模型分析并提取了室内商圈区域的聚散和流动等特性,进一步通过特征关联预测用户的消费等行为,提出了室内位置大数据协同挖掘的方法和架构。在某机场商圈、西单某商场亿级用户位置数据集上进行了有效性实验和应用,通过实测数据对比验证了基于此架构室内定位数据的精准性和挖掘方法的可行性。     

现代计算机技术的应用与GIS的发展

以现代计算机技术为基础,形成了微观对象的地理信息系统、网络地理信息系统、多媒体地理信息系统、虚拟地理信息系统、智能窨决策支持系统、开发式地理信息系统等新的发展模式,本文还讨论了现代计算机对地理信息系统发展的关键作用及实现技术。     

基于移动计算的地理信息系统的发展研究及应用前景

计算机与通信技术使得移动计算成为当今一种主流计算方法，基于移动计算的地理信息系统（称做移动GIS）就是在这种条件下产生的。可以预见，移动地理信息系统将会是GIS产业发展的下一个亮点。本用GIS发展的观点叙述了移动GIS发展的必然性，以及移动GIS发展过程中的变化和特点，并且讨论了移动GIS的关键技术及应用前景。     

TD-LTE室内分布系统设计要点

研究了TD-LTE室内分布系统设计的3个重要问题,包含TD-LTE室内分布系统组网方案,TD-LTE与其他系统共存时的干扰分析以及室分天线点的布放间距。这3个方面同时也体现了TD-LTE室内分布系统设计的特点,有助于了解TD-LTE室内分布系统设计。     

GIS互操作研究

首先分析了GIS（Geographic Information System）互操作,指出GIS互操作应包括GIS数据互操作和GIS处理功能互操作两个方面。GIS数据互操作采用GML（Geography Markup Language,地理标记语言）编码可以较好地实现;而通过对组件GIS思想的扩展和对组件注册模型的分析,GIS处理功能互操作以地理信息服务的形式出现。最后提出了采用Java技术构建的GIS互操作模型的系统结构。     

AM/FM/GIS应用系统建设中若干问题的探讨

在进行多项AM／FM／GIS应用系统建设实践和对AM／FM／GIS的深入研究的基础上,阐述了AM／FM／GIS的特点,指出了当前AM／FM／GIS建设过程中存在的一系列问题,并从AM／FM／GIS标准,平台建设,模型集成,知识与规则的应用,多层体系结构,分布式计算等几个方面对AM／FM／GIS进行了较为详细的探讨,提出了解决相关问题的思路。     

基于WindowsDNA框架的GIS软件结构初探

GIS软件结构体系作为GIS研究的个重点,日益受到们人们的重视。本文简介WindowsDNA结构体系后,提出了一种GIS的软件结构框架,并详述该结构的逻辑组成及物理配置。这种结构的GIS软件可以封装异地GIS数据和快速的添加及删除GIS功能组件,是快速开发GIS软件的一个途径。     

Multi-Agent技术在分布式GIS中的应用研究

通过对分布式GIS和分布式计算技术的介绍以及基于分布式对象技术的GIS应用中难以解决的关键性问题的研究,将Multi-Agent技术应用到分布式GIS中;采用的方法是通过详细分析Multi-Agent技术,并结合GIS的层次化体系结构深入重点地研究了Multi-Agent技术在分布式GIS中的应用,最后结合已有的研究介绍了将Multi-Agent技术应用于分布式GIS空间信息的查找和获取;结果表明,将Multi-Agent技术应用于分布式GIS中可以很好地解决基于分布式对象技术的GIS应用中难以解决的关键性问题。     

Web GIS技术的实现及在电力系统中的应用

Web GIS是目前地理信息系统发展的一种趋势,通过对地理信息系统、Web GIS的概述和对网络地理信息系统实现原理的分析,具体阐述Web GIS技术的几种实现方式。在此基础上,详细介绍Web GIS技术在电厂、配电、用电系统中的应用,并为开发发电厂Web GIS提供了一种有效的设计方案,同时给出方案的系统结构设计、功能设计。此方案已被成功运用到发电厂Web GIS系统中。     

改进神经网络的无线网络室内定位

受到多种因素的干扰,室内定位一直是无线网络研究中的热点,为了提升无线网络室内定位的效果,针对当神经网络存在无线网络室内定位精度的难题,设计了一种基于改进神经网络的无线网络室内定位方法. 首先收集无线网络室内相关信息,提取室内定位的数据,然后采用神经网络对数据进行学习,建立无线网络定位模型,并对神经网络的缺陷进行改进,最后在Matlab平台上进行了仿真实验. 结果表明,改进神经网络克服传统室内定位方法存在的局限性,获得了更高的无线网络室内定位精度,而且室内定位效率也得到了明显的改善.