面向连接的SOCKET编程与通信软件的设计

介绍了ＳＯＣＫＥＴ的基本概念和编程原理。对ＵＮＩＸ网络下如何利用面向连接的ＳＯＣＫＥＴ编程实现客户机、服务器进程间通信进行了分析并给出了程序实例     

“数字城市”中网络模拟实验系统建设研究

 本文就推动“数字城市”的顺利发展,提出了一个建设网络模拟实验系统的新的组织结构方式。就此较为详细地阐述了该系统的意义与功用,并指出适用的建设原则和首要任务,同时予以示例说明     

几种形式的网络RTK技术比较与应用研究

目前,网络RTK成为工程领域的研究热点.但是,许多城市还没有建立当地的CORS系统,或者仅有单基站系统.因而,对于测绘工程领域来说,网络RTK技术仍是该地区的最大需要.于此同时,高达10 cm的实时定位精度的手持机已经进入测量市场,称之为手持RTK当之无愧.本文就单基站CORS技术与网络CORS技术,以及手持机连接自设基站技术测量精度进行分析与比较,并提出有益建议.     

两种样本输入方式下基于GRNN的日长变化预报结果的比较

针对广义回归神经网络用于日长变化预报过程中,样本的输入方式对预报结果的影响进行了研究。采用2种输入方式:即样本按不同跨度输入以及按连续输入,对日长变化进行预报。最终证明不同的样本输入方式对日长变化预报精度的影响较大,样本按跨度输入在超短期预报中预报精度较高,样本采用连续输入的方式在短期和中期预报中预报精度较高。     

LAMOST观测控制系统的网络稳定性分析

观测控制系统是为LAMOST(大天区面积多目标光纤光谱天文望远镜)开发的基于网络的、自动运行观测流程的软件系统。在研究观测控制系统的实际网络拓扑结构和通信协议的基础上,利用网络模拟软件NS2对其进行模拟和分析,并对网络性能进行了实测。网络模拟和实测的结果证明,目前开发的观测控制系统在现有的网络结构和通信协议下能够稳定工作。同时,本研究也为观测控制系统的网络故障诊断提供了方法。     

网络RTK放宽收敛阈值对点位精度影响的探讨

网络RTK测量过程中,参数设置直接影响到观测点位的精度,因此技术规范均严格要求了相关限差范围。本文就如果仅平面与垂直收敛阈值均超出限差1cm范围,将对点位精度产生多大的影响进行探讨。     

基于 SDCORS 的网络 RTK 在城市区域测量效率与精度测试分析

利用SDCORS提供的网络RT K服务,在山东建筑大学校园内利用一台RT K GPS接收机,从初始化时间、定位精度及可靠性等方面对SDCORS 网络RTK的性能进行了测试与分析。实验表明：待测点周围环境对网络 RT K 初始化所需时间影响较大,在开阔区域,RT K从浮点解到获得固定解的时间约需2 s ,在树木及建筑物等遮挡比较严重的环境下初始化时间约需几分钟甚至更长;在城市环境下,基于SDCORS的网络RT K动态定位的精度达到3 cm左右。     

Organizational issues in the development of geographical information systems: a case study of UJS. Army topographic information automation

Abstract

This paper is a case study of issues that have frustrated and slowed the development of a geographical information system for automation of topographic information processing within the U.S. Army. The findings, which are universal to all large organizations attempting to develop an initial capability, reinforce the notion that today most problems in the development of geographical information systems are rooted in organizational rather than technological issues. An iterative prototyping approach is suggested as a means of preventing similar situations when introducing such technology into large organizations. This ‘hands-on’ approach allows the organization and the people to adopt and evolve in parallel with the technology and improves the chances for success.     

An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data

Abstract

Representations historically used within GIS assume a world that exists only in the present. Information contained within a spatial database may be added-to or modified over time, but a sense of change or dynamics through time is not maintained. This limitation of current GIS capabilities has recently received substantial attention, given the increasingly urgent need to better understand geographical processes and the cause-and-effect interrelationships between human activities and the environment. Models proposed so-far for the representation of spatiotemporal data are extensions of traditional raster and vector representations that can be seen as location- or feature-based, respectively, and are therefore best organized for performing either location-based or feature-based queries. Neither form is as well-suited for analysing overall temporal relationships of events and patterns of events throughout a geographical area as a temporally-based representation.

In the current paper, a new spatio-temporal data model is proposed that is based on time as its organizational basis, and is thereby intended to facilitate analysis of temporal relationships and patterns of change through time. This model is named the Event-based Spatio Temporal Data Model (ESTDM). It is shown that temporally-based queries relating to locations can be implemented in an efficient and conceptually straightforward manner using ESTDM by describing algorithms for three fundamental temporally-based retrieval tasks based on this model: (1) retrieving location(s) that changed to a given value at a given time, (2) retrieving location(s) that changed to a given value over a given temporal interval, and (3) calculation of the total area that has changed to a given value over a given temporal interval. An empirical comparison of the space efficiency of ESTDM and compressed and uncompressed forms of the ‘snapshot’ model is also given, showing that ESTDM is also a compact representation of spatio-temporal information.     

Turn calculations for the indoor application of the fewest turns path algorithm

ABSTRACT

Present-day indoor navigation systems are often not well adapted to the specific needs and requirements of its users. This research aims at improving those indoor navigation systems by providing navigation support that cognitively closer to user preferences and behaviour. More specifically, the focus is on the implementation of an accurate turn calculation method in a turn minimization algorithm, aiming to lower the complexity of routes and route instructions. This new-introduced perception-based turn calculation procedure is based on a direct door-to-door walking pattern, and, in contrast to previous algorithms, independent of the underlying indoor network type. It takes into account the effects of geometry of indoor space on human movement. To evaluate its functioning, both the traditional algorithm and the proposed perception-based algorithm are applied in the fewest turns path algorithm. It is demonstrated that the proposed algorithm accurately calculates turns in alignment with people’s perception. The implementation of the calculation algorithm in the fewest turns path algorithm also allows future applications in indoor simplest path algorithms, and overall contributes to cognitively richer indoor navigation systems.