一个直接以图纸作为成图界面的机助制图系统

本文针对仍将长期存在的手工绘图方式，提出直接以图纸作为绘图界面的机助制图设想，基于这一设想开发了简称为“ＮＣＣＡＤＳ”的机助制图系统。在本系统支持下，用户可操纵绘图仪直接在图纸上进行绘图、描图及文字符号标注，还可代替数字化仪实现图形的数字化。     

基于遥感分类图的机助制图研究

实现遥感信息机助制图是加速遥感应用的重要技术手段。以ＴＭ图像的初级分类图为依据，根据分类图像的特点，结合专题地图的制图原则，介绍了用分层滤波法进行图像的综合取舍，并与ＧＩＳ相结合，实现快速自动成图的过程和方法。对于提高图像专题分析的技术水平，快速及时地提供资料，以及促进遥感与地理信息系统的结合进行了探索。     

基于GIS的房产测绘专题制图系统研究──以南京房产测绘系统制图子系统的研究为例

在论述传统的机助制图系统和ＧＩＳ制图系统的基础上,以南京房产测绘系统为依托,采用面向对象的设计思想,结合基于ＡＲＣ／ＩＮＦＯ的查找表技术,开发出具有多图式符号自动配置的房产测绘专题制图系统。     

基于GIS的房产测绘专题制图系统研究——以南京房产测绘系统制？…

在论述传统的机助制图系统和ＧＩＳ制图系统的基础上,以南京房产测绘系统为依托,采用面向对象的设计思想,结合基于ＡＲＣ／ＩＮＦＯ的查找表技术,开发出具有多图式符号自动配置的房产测绘专题制图系统。     

工作流机制在田野考古地理信息系统中的应用

传统的田野考古工作,如审批与文档管理等主要是以手工操作为主,而基于工作流的田野考古地理信息系统可以实现对田野考古流程和文档的信息化管理,提高科学性与工作效率。系统采用Client/Server结构,设计与实现了田野考古流程管理与定制、表单管理与定制、工作流监督控制以及运行控制等多种功能,并用田野考古国家规范作为实例介绍了该工作流机制的应用,取得了满意的效果。     

在.Net平台下建立田野考古数字化平台

田野考古是考古学的重要分支,田野考古数字化平台是一套专门应用于田野考古工作的基于Web的应用系统。文中阐述了一个基于Microsoft.Net架构下的三层结构的田野考古应用系统的设计与实现。重点讨论了在涉及数据复杂的情况下,如何通过O/R Mapping提高开发效率的问题。提出并实现了一套自定义的基于描述的O/R Mapping方案。     

在.Net平台下建立田野考古数字化平台

田野考古是考古学的重要分支，田野考古数字化平台是一套专门应用于田野考古工作的基于Web的应用系统。文中阐述了一个基于Microsoft．Net架构下的三层结构的田野考古应用系统的设计与实现。重点讨论了在涉及数据复杂的情况下，如何通过O／R Mapping提高开发效率的问题。提出并实现了一套自定义的基于描述的O／R Mapping方案。     

基于题目反应理论的机助自适应考试系统

基于题目反应理论，给出了机助自适应考试系统的基本流程及其算法。并实现了基于局域网的汉语机助自适应考试－－ＨｙＣａｔｓ。     

PC—ARC／INFO在机助专题系列制图中的应用

在机助制图基础上发展起来的地理信息系统ARC/INFO软件,以其丰富的功能和简便的操作,在GIS领域中赢得了广大的用户。该软件在PC机上移植成功,更扩大了它的用户范围。我们这次利用PC-ARC/INFO软件,在建立“三北”防护林遥感综合调     

黄土丘陵区数字地貌模型与遥感影象分类

黄土丘陵区地形破碎，沟壑纵横，为遥感影象的土地利用自动分类带来了很大困难。依靠传统的统计分类方法，难以达到较高的分类精度。本文拟探讨在黄土丘陵区运用大比例尺地琪图数据。建立区域数字地貌模型，并在模糊数学理论的指导下，运用数字地貌模型对影象的分层分类结果进行修正和细化。研究表明，此方法能够有效地提高土地利用分类精度和机助制图比例尺。     

An Effective Tone Mapping Operator for High Dynamic Range Images

Tone mapping operators are used to compress a large range of pixel luminances into a smaller range, which can be displayed on a monitor screen. In this paper, an effective and easy-to-use tone mapping operator based on the latest ideas developed in this field is presented. The parameter estimation process relies on the sampling method. Special attention is given to the robustness of the algorithm for the parameter estimation. The suggested tone mapping operator ensures good quality of images and almost does not require manual parameter tuning.     

ArchaeoSTOR: A data curation system for research on the archeological frontier

The broad adoption of diagnostic and analytical techniques in the field of archeology, presents a unique opportunity for e-Science in the form of scientific explanation, drawing from methodologies aimed at recording, archiving, analyzing, and disseminating, rich data collections to create the needed infrastructure for both research and web-based curation and data management system. This paper presents a needed stepping stone towards synergy between information technology and archeology, by introducing a data acquisition, tagging and characterization pipeline along with a novel method for spatially querying archeological data.     

基于ArcGIS Engine的煤矿巷道地质素描制图系统的设计与实现

目前煤矿地测部门在编制巷道地质素描时均采用手工制图的方式.这样存在着绘图速度慢,绘图精度不够,不便于修改和管理等缺点.因此采用人工检索、分析和处理地质测量信息资料已经难以满足煤矿现代化生产与技术管理的需要.本文采用ArcGIS Engine作为平台,实现了煤矿巷道地质素描的计算机自动成图,丰富了信息技术在煤矿地测应用领域的内容.本文阐述了系统的体系结构和系统的基本功能.     

计算机在林业制图中的应用探究

随着生态文明的发展,人们对森林资源的数据要求也越来越高,相关数据要根据实际森林资源的变化而变化,即“图面、账面、实地三者一致”。但是传统林业制图采取的是手工绘制的方法,无论是时效性还是准确性,都无法满足人们对森林资源数据越来越高的要求。而计算机技术的迅猛发展必将带动林业制图的一场革命。本文就针对林业制图过程中计算机技术的应用展开讨论。     

Business process archeology using MARBLE

Context

Legacy information systems age over time. These systems cannot be thrown away because they store a significant amount of valuable business knowledge over time, and they cannot be entirely replaced at an acceptable cost. This circumstance is similar to that of the monuments of ancient civilizations, which have aged but still hold meaningful information about their civilizations. Evolutionary maintenance is the most suitable mechanism to deal with the software ageing problem since it preserves business knowledge. But first, recovering the underlying business knowledge in legacy systems is necessary in order to preserve this vital heritage.

Objective

This paper proposes and validates a method for recovering and rebuilding business processes from legacy information systems. This method, which can be considered a business process archeology, makes it possible to preserve the business knowledge in legacy information systems.

Method

The business process archeology method is framed in MARBLE, a generic framework based on Architecture-Driven Modernization (ADM), which uses the Knowledge Discovery Metamodel (KDM) standard. The proposed method is validated using a case study that involves a real-life legacy system. The case study is conducted following the case study protocol proposed by Brereton et al.

Results

The study reports that the proposed method makes it possible to obtain business process models from legacy systems with adequate levels of accuracy. In addition, the effectiveness of the proposed method is also validated positively.

Conclusion

The proposed method semi-automatically rebuilds the hidden business processes embedded in a legacy system. Therefore, the business process archeology method quickly allows business experts to have a meaningful understanding of the organization’s business processes. This proposal is less time-consuming and more exhaustive (since it considers the embedded business knowledge) than a manual process redesign by experts from scratch. In addition, it helps maintainers to extract the business knowledge needed for the system to evolve.     

基于激光雷达地形测绘建立DEM模型

地形测绘技术在地理信息系统及地形辅助导航中起着相当重要的作用,当前地形测绘技术已由过去的人工测绘发展为利用多种手段进行自动测绘。其中利用机载或星载激光雷达进行测绘是一种先进的测绘手段,目前在国际上已普遍采用。该方法与传统的人工测绘比较,具有全天候、精确性高、实时性强等诸多优点。主要介绍了利用机载激光雷达并结合全球卫星定位系统、惯性导航技术建立地形高程模型的一种新方法。该方法在带状地形的测量方面具有较好的精度和效果。     

一种基于深度学习的青铜器铭文识别方法

考古出土的青铜器铭文是非常宝贵的文字材料,准确、快速地了解其释义和字形演变源流对考古学、历史学和语言学研究均有重要意义.青铜器铭文的辨识需要综合文字的形、音、义进行研究,其中第一步也是最重要的一步就是分析文字的形体特征.本文提出一种基于两阶段特征映射的神经网络模型来提取每个文字的形体特征,最后对比目前已知的文字研究成果,如《古文字类编》、《说文解字》,得出识别的结果.通过定性和定量的实验分析,我们发现本文提出的方法可达到较高的识别精度.特别地,在前10个预测类别中（Top-10）准确率达到了94.2%,大幅缩小了考古研究者的搜索推测空间,提高了青铜铭文识别的效率和准确性.     

Automated classification of landforms on Mars

We propose a numerical method for classification and characterization of landforms on Mars. The method provides an alternative to manual geomorphic mapping of the Martian surface. Digital elevation data is used to calculate several topographic attributes for each pixel in a landscape. Unsupervised classification, based on the self-organizing map technique, divides all pixels into mutually exclusive and exhaustive landform classes on the basis of similarity between attribute vectors. The results are displayed as a thematic map of landforms and statistics of attributes are used to assign semantic meaning to the classes. This method is used to produce a geomorphic map of the Terra Cimmeria region on Mars. We assess the quality of the automated classification and discuss differences between results of automated and manual mappings. Potential applications of our method, including crater counting, landscape feature search, and large scale quantitative comparisons of Martian surface morphology, are identified and evaluated.