基于Mitab库的嵌入式GIS地图导航设计与实现

利用嵌入式Linux操作系统和MIF格式地图数据源,设计了一种基于Mitab库的嵌入式GIS导航电子地图系统。分析了MIF数据文件的存储格式和地图对象模型,提出嵌入式GIS导航电子地图系统结构。采用图形用户界面系统MiniGUI开发,通过Mitab库读取矢量地图几何数据和属性数据,并进行地图数据坐标转换算法处理,实现了嵌入式GIS地图可视化导航功能。原型系统运行实例表明了模型的可行性和算法的有效性。     

基于工作过程的“机械图样识读与绘制”学习领域课程开发与设计

基于工作过程教学模式成为目前适应高职教育的有效模式。以机械设计 与制造专业基础课程“机械制图”与“计算机辅助设计与绘图”的整合为例,探讨对该课程学 科体系下的知识解构和基于工作过程导向重组,开发与设计、基于工作过程的“机械图样 识读与绘制”学习领域课程,使课程学习内容与工作内容良好对接,实现上岗工作“零适应 期”。     

基于“广义形体分析法”的高职图学课程改革探索与实现

“广义形体分析法”是“工程图学”课程改革的一种探索性创新思维方法,它 将课程核心内容整体分解为几何元素、几何结构、功能组合、零件装配、知识与技能等5 个 块元。介绍了基于“广义形体分析法”的高职“工程图学”课程改革方案及其实现关键,进行了 改革的初步探索和实践,取得了较好的成效。实践结果表明,该方法能有效提升图学基础与 应用的教学效果,有助于职业快速适应、逻辑思维形成及创新能力提升。     

基于认知属性库的原型范畴研究

原型范畴是认知科学研究中的重要理论,使用属性来区分范畴中心成员及边缘成员有着较强的解释力,但该理论一直缺乏基于频率信息的属性数据支撑。该文借助认知属性库的23万条数据,对原型理论研究中经常讨论的“鸟”、“水果”、“交通工具”等范畴的典型成员和非典型成员进行分析验证。认知属性库的数据显示,在汉语中,“鸟”的典型成员是“麻雀”、“燕子”等,和“鸟”具有较多的共同属性;而“企鹅”、“鸵鸟”则只共享了“鸟”很少的属性,且缺少关键的属性“飞”。大体上验证了原型理论的观点。同时,我们也发现“小鸟”的属性特别丰富,具有典型成员的特性。在进一步观察了“水果”和“交通工具”两个范畴后,我们探讨了范畴的跨类现象,进而从数学模型上区分了树结构的层次分类体系和图结构的范畴化体系。     

融合云课堂的“机械CAD 基础”课程教学改革研究

“机械CAD 基础”是很多工科专业需要学习的课程,其实践性强,多在计算机教室 进行授课。随着“互联网+”技术在高校课程教学中的应用,线上教学的优势逐渐显现,“机械CAD 基础”课程的特点适合线上与线下相结合的教学模式。为此,在校“石大云课堂”线上教学平台建 设了“机械CAD 基础”课程网站,并进行了教学实践,充分发挥了云课堂的课程资源建设、教学 活动设计、互动性学习、学习数据统计、大数据反馈等功能,构建了新型的云课堂及线下教学 相融合的教学模式,对目前“互联网+”在高校教学中的运用提供了有益的探索和实践。     

银河-II气象应用并行库

本文着重介绍“银河－Ⅱ气象应用并行库”的设计思想、技术特点和使用方法。     

基于系统调用序列的“非我”分类

针对仿生免疫系统模型（GECISM）中已识别出的“非我”入侵程序,介绍了基于系统调用序列根据入侵行为进行分类的方法。通过对训练集提取规则,建立“非我”类的特征库,从而判断出“非我”程序所属的“非我”类。实验验证了这一方法的可行性和有效性。     

一种基于GIS组件的矢量符号设计和标绘的通用方法

在GIS工程建设和软件开发中,所基于的GIS开发平台（如ArcInfo、MapInfo等）提供的符号往往不能满足不同用户的需要。因此,开发过程必然涉及到矢量符号设计和标绘的问题。本文对面向对象的矢量符号设计方法进行了探讨,并重点对矢量符号在GIS组件的标绘中所涉及的技术方法进行了论述。     

三维地形场景局部高精度地形快速更新方法

三维地形场景在很多应用中需要通过及时更新局部高精度地形数据来构建重点区域的精细场景,针对局部区域地形数据的动态更新,提出了基于GPU实时网格细分的局部高精度地形的“镶嵌”算法;通过在GPU中对更新区域的地形网格实时插值细分来增加三角面片数,提高地形模型的几何精度,在有效保证更新区域地形绘制精度的同时,并没有增加内存与显存之间的数据传输压力。实验结果表明,更新区域的绘制精度能够满足要求,且执行效率优于现有的常用算法。     

基于基元模型的产品创意设计方法与表征研究

为打破传统 “设计直觉、灵感”生成过程“黑箱”,运用可拓学基元理论, 构建创意设计阶段基元模型,结合工业设计学科属性,提出“异特征”、“异量值”、“异规则”、 “关系同构”四个构思层面,明确分物元获取参照方法,以保证物元变换品质,得到基于基元 模型的产品创意设计方法及表征,有效提升产品创新品质。最后,以家用加湿器设计实例验 证了本方法的有效性、实用性和创新性。     

MAGELLAN: Map Acquisition of GEographic Labels by Legend ANalysis

A system named MAGELLAN (denoting Map Acquisition of GEographic Labels by Legend ANalysis) is described that utilizes the symbolic knowledge found in the legend of the map to drive geographic symbol (or label) recognition. MAGELLAN first scans the geographic symbol layer(s) of the map. The legend of the map is located and segmented. The geographic symbols (i.e., labels) are identified, and their semantic meaning is attached. An initial training set library is constructed based on this information. The training set library is subsequently used to classify geographic symbols in input maps using statistical pattern recognition. User interaction is required at first to assist in constructing the training set library to account for variability in the symbols. The training set library is built dynamically by entering only instances that add information to it. MAGELLAN then proceeds to identify the geographic symbols in the input maps automatically. MAGELLAN can be fine-tuned by the user to suit specific needs. Recognition rates of over 93% were achieved in an experimental study on a large amount of data. Received January 5, 1998 / Revised March 18, 1998     

GIS中地图符号设计系统的设计与实现

为了研制国产ＧＩＳ软件－－Ｇｅｏｓｔａｒ地图符号设计子系统。采用面向对象的方法,对符号分类组织,图象类设计、符号库结构、符号设计软件及空间信息符号化动态库等进行了设计与软件开发,所的研制的软件成功地对国家标准系列地图图式进行了设计,可满足实际生产的需要,介绍了符号设计子系统设计与开发过程中面向对象方法的应用与技术问题,研究表明,采用面向对象的方法来开发地图符号设计软件,技术思路正确,所开发的软件具有良好的封装性,便于维护和扩充。     

Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing

The architecture constructed with two types of processing, logical symbol processing and stimulus-reaction type parallel processing, seems promising for intelligent systems. Since symbol processing is constructed by a top-down approach and stimulus-reaction type processing is built up by a bottom-up approach, a discrepancy, which is called the 'symbol grounding problem', takes place. This paper presents a framework for integration of symbol processing and stimulus-reaction type processing from the viewpoint of solving the symbol grounding problem. In this framework designers or users use the conventional heuristic symbols and the systems use the self-organized symbols based on the characteristics/environment of the systems themselves. Translation from one to another produces the fusion of those two symbols. The self-organized symbols are grounded and manipulative. Navigation of an autonomous robot is simulated. Acquisition of manipulative grounded symbols with the proposed framework is demonstrated. Since the constructed robot is equipped only with a stimulus-reaction type controller, it has a robustness against noise and temporary geometrical changes.     

矢量数据符号化方法在CAC中的重要性研究

矢量数据符号化是CAC中空间信息可视化的一种主要方法,通常是采用完全基于矢量技术的算法实现。该文通过对栅格数据和矢量数据各自优缺点的分析、比较及应用研究,提出一种基于矢量栅格技术的矢量数据符号化方法,在符号库法符号化的软件系统中采用这种方法,可以消除矢量技术产生的不良图形,降低算法的复杂程度,减少计算机的时间开销,提高符号化的整体速度。     

图元法符号库的设计思想研究

论文用面向对象的方法对GIS地图符号进行了特征分析和分类,提出了基于图元的符号绘制方法;进而介绍了符号库系统的管理机制、存储机制、编码设计以及参数表建立等四个方面。上述方法及技术已经在大型国产GIS软件-织女星地理信息系统VegaGIS中得到实现。     

An experimental comparison of test and symbols for in-car reconfigurable displays

As cars become more sophisticated, there is a corresponding increase in the range of information which needs to be presented to drivers. This increased information load is beyond the scope of conventional technology; space requirements on the dashboard limit the number of displays, which can be employed. The study reported in this paper is based on the premise that centralized information presentation could be employed for in-car warming systems. Forty subjects were tested on a computer-based task, in which they had to rate the urgency of displayed information. The information was presented in one of four formats: symbols only, symbols plus title, symbols plus action, or symbol, title and action. Results show that the most effective type of display for urgency rating was symbol plus action, and that symbol, title and action produced the fastest reaction times. These results are considered in terms of previous research, and implications for the design of in-car warnings are discussed.     

矢量数据符号化方法在CAC中的重要性研究

矢量数据符号化是CAC中空间信息可视化的一种主要方法,通常是采用完全基于矢量技术的算法实现。该文通过对栅格数据和矢量数据各自优缺点的分析、比较及应用研究,提出一种基于矢量栅格技术的矢量数据符号化方法,在符号库法符号化的软件系统中采用这种方法,可以消除矢量技术产生的不良图形,降低算法的复杂程度,减少计算机的时间开销,提高符号化的整体速度。     

Safety symbol comprehension: effects of symbol type, familiarity, and age

A new procedure for evaluating symbol comprehension, the phrase generation procedure, was assessed with 52 younger and 52 older adults. Participants generated as many phrases as came to mind when viewing 40 different safety symbols (hazard alerting, mandatory action, prohibition, and information symbols). Symbol familiarity was also assessed. Comprehension rates for both groups were lower than the 85% level recommended by the American National Standards Institute. Moreover, older participants' comprehension was significantly worse than younger participants', and the older adults also generated significantly fewer phrases. Generally, prohibition symbols were comprehended best and hazard alerting symbols worst. In addition, symbol familiarity was positively correlated with symbol comprehension. These findings indicate that important safety information depicted on signs and household products may be misunderstood if presented in symbolic form. Furthermore, certain types of symbols may be better understood (e.g., prohibition symbols) than other types (e.g., hazard alerting symbols) by both younger and older individuals. These findings signify the utility of the phrase generation procedure as a method for evaluating symbol comprehension, particularly when it is not possible or desirable to provide contextual information. Actual or potential applications of this research include using the phrase generation approach to identify poorly comprehended symbols, including identification of critical confusions that may arise when processing symbolic information.     

基于“符号编码规范”的GIS地图符号共享方法研究

从分析现有GIS地图符号共享技术及其存在的问题入手,提出了一种基于OGC符号编码规范（SE）的GIS地图符号共享方法。由SE符号数据模型、SE地图符号编辑器和地图符号绘制引擎形成的通用地图符号系统将理论上的国际地图符号规范转变成具有可操作性的GIS地图符号共享方法,使人们在共享地理空间数据的同时,实现同一地图符号库在多个GIS软件之间以及在Internet环境下的共享。