基于Visual Graph的电力图形系统开发

针对传统面对对象的图形系统开发周期长、维护困难的缺点,基于通用图形开发平台——VisualGraph,提出了一种简便、清晰的面向图形对象的建模新方法。用可视化图形类建立电力元件并组成电网结构图,快速开发出图形系统。建模及过程全部实现可视化,十分快捷。实际应用表明,该方法是有效的,所开发的图形系统具有良好的实际应用前景。

基于Visual Graph平台的管路系统开发

虚拟管路系统是一种较为独特的仿真系统,不仅要求反映管路系统的静态结构,而且需要表现管路控制关系和管路流体的动态流动效果。介绍了使用Visual Graph平台进行管路系统开发的主要工作过程,阐述了主要工作流程、管路构件的建模与设计以及视图缩放的设计。

基于Visual Graph的电气控制仿真

主要介绍软件VisualGraph在电气控制电路仿真方面的应用。以“电动机正反转控制”为例,说明如何利用VisualGraph实现对电气控制电路的仿真。

Context-attributed graph grammar framework for specifying visual languages

Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph grammar（CAGG）, is proposed. In order to resolve the embedding problem, context information of a graph production in the CAGG is represented in the form of context attributes of the nodes involved. Moreover, several properties of a set of confluent CAGG productions are characterized, and then an algorithm based on them is developed to decide whether or not a set of productions is confluent, which provides the foundation for the design of efficient parsing algorithms. It can also be shown through the comparison of CAGG with several typical context-sensitive graph grammars that CAGG is more succinct and, at the same time, more intuitive than the others, making it more suitably and effortlessly applicable to the specification of visual languages.

Visual Graph动画在“电气控制与PLC技术”教学中的应用

Visual Graph是近年来出现的新型图形交互和动画展示技术,具有直观性好、交互性强等优点。文章从“电气控制与PLC技术”课程的实际教学效果出发,讨论了课程动画辅助教学的需求分析和规划,并展示了典型动画设计案例,供广大教学人员参考。

Interactive multigraph visualization and exploration with a two-phase strategy

While it is very reasonable to use a multigraph consisting of multiple edges between vertices to represent various relationships, the multigraph has not drawn much attention in research. To visualize such a multigraph, a clear layout representing a global structure is of great importance, and interactive visual analysis which allows the multiple edges to be adjusted in appropriate ways for detailed presentation is also essential. A novel interactive two-phase approach to visualizing and exploring multigraph is proposed. The approach consists of two phases： the first phase improves the previous popular works on force-directed methods to produce a brief drawing for the aggregation graph of the input multigraph, while the second phase proposes two interactive strategies, the magnifier model and the thematic-oriented subgraph model. The former highlights the internal details of an aggregation edge which is selected interactively by user, and draws the details in a magnifying view by cubic Bezier curves; the latter highlights only the thematic subgraph consisting of the selected multiple edges that the user concerns. The efficiency of the proposed approach is demonstrated with a real-world multigraph dataset and how it is used effectively is discussed for various potential applications.

Brief Talk About Big Data Graph Analysis and Visualization

Graphical methods are used for construction.Data analysis and visualization are an important area of applications of big data.At the same time,visual analysis is also an important method for big data analysis.Data visualization refers to data that is presented in a visual form,such as a chart or map,to help people understand the meaning of the data.Data visualization helps people extract meaning from data quickly and easily.Visualization can be used to fully demonstrate the patterns,trends,and dependencies of your data,which can be found in other displays.Big data visualization analysis combines the advantages of computers,which can be static or interactive,interactive analysis methods and interactive technologies,which can directly help people and effectively understand the information behind big data.It is indispensable in the era of big data visualization,and it can be very intuitive if used properly.Graphical analysis also found that valuable information becomes a powerful tool in complex data relationships,and it represents a significant business opportunity.With the rise of big data,important technologies suitable for dealing with complex relationships have emerged.Graphics come in a variety of shapes and sizes for a variety of business problems.Graphic analysis is first in the visualization.The step is to get the right data and answer the goal.In short,to choose the right method,you must understand each relative strengths and weaknesses and understand the data.Key steps to get data:target;collect;clean;connect.

Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations

The visualization of dynamic graphs is a challenging task owing to the various properties of the underlying relational data and the additional time-varying property.For sparse and small graphs,the most efficient approach to such visualization is node-link diagrams,whereas for dense graphs with attached data,adjacency matrices might be the better choice.Because graphs can contain both properties,being globally sparse and locally dense,a combination of several visual metaphors as well as static and dynamic visualizations is beneficial.In this paper,a visually and algorithmically scalable approach that provides views and perspectives on graphs as interactively linked node-link and adjacency matrix visualizations is described.As the novelty of this technique,insights such as clusters or anomalies from one or several combined views can be used to influence the layout or reordering of the other views.Moreover,the importance of nodes and node groups can be detected,computed,and visualized by considering several layout and reordering properties in combination as well as different edge properties for the same set of nodes.As an additional feature set,an automatic identification of groups,clusters,and outliers is provided over time,and based on the visual outcome of the node-link and matrix visualizations,the repertoire of the supported layout and matrix reordering techniques is extended,and more interaction techniques are provided when considering the dynamics of the graph data.Finally,a small user experiment was conducted to investigate the usability of the proposed approach.The usefulness of the proposed tool is illustrated by applying it to a graph dataset,such as e co-authorships,co-citations,and a Comprehensible Perl Archive Network distribution.

Using Luhn’s Automatic Abstract Method to Create Graphs of Words for Document Visualization

Visualization methods for single documents are either too simple, considering word frequency only, or depend on syntactic and semantic information bases to be more useful. This paper presents an intermediary approach, based on H. P. Luhn’s automatic abstract creation algorithm, and intends to aggregate more information to document visualization than word counting methods do without the need of external sources. The method takes pairs of relevant words and computes the linkage force between them. Relevant words become vertices and links become edges in the resulting graph.

Autonomous map query:robust visual localization in urban environments using Multilayer Feature Graph

When a vehicle travels in urban areas, onboard global positioning system （GPS） signals may be obstructed by high-rise buildings and thereby cannot provide accurate positions. It is proposed to perform localization by registering ground images to a 2D building boundary map which is generated from aerial images. Multilayer feature graphs （MFG） is employed to model building facades from the ground images. MFG was reported in the previous work to facilitate the robot scene understand- ing in urhan areas. By constructing MFG, the 2D/3D positions of features can be obtained, inclu- cling line segments, ideal lines, and all primary vertical planes. Finally, a voting-based feature weighted localization method is developed based on MFGs and the 2D building boundary map. The proposed method has been implemented and validated in physical experiments. In the proposed ex- periments, the algorithm has achieved an overall localization accuracy of 2.2m, which is better than commercial GPS working in open environments.

Intermediate Representation Using Graph Visualization Software

In this paper, a method to initiate, develop and visualize an abstract syntax tree (AST) in C++ source code is presented. The approach is in chronological order starting with collection of program codes as a string and split into individual characters using regular expression. This will be followed by separating the token grammar using best first search (BFS) algorithm to determine node having lowest value, lastly followed by graph presentation of intermediate representation achieved with the help of graph visualization software (GraphViz) while former is implemented using python programming language version 3. The efficacy of our approach is used in analyzing C++ code and yielded a satisfactory result.

The Importance of Visual Identity Graphic Design in Cities

The identity system depends on tangible architecture, landscape roads and so on, but it doesn＇ t equal to the supplement of its subject but an indispensable constituent part. As the finishing touch of the whole urban space, by means of design of elements such as symbols, graphs, characters and colors as well as integration of various factors, the identity system reflects the urban specialty, conveys urban features related to history, geography, culture and emotion. The identity system provides suitable space environment to people through application of concrete symbols, graphs, characters and colors, in addition, it also mirrors that the designing culture of a city equals to its design concept with the combination of the historical culture of this city. A modem city shall be provided with such function, that is, it shall possess a whole set of well-designed and scientific-planned indication mechanism to help those wandering pedestrians to indicate direction and find their way successfully. It shall not only serve the mass, realize inter-coordination among people, identity facility and space environment to make people＇ s living environment more comfortable and convenient, but also it constitutes the vital cartier to spread local culture and model urban brand.

Visualization of Personal Interest Graph from Social Network

The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, the idea of information visualization and development of tools are presented. Popular social network micro-blog （＇Weibo＇） is chosen to realize the process of users＇ interest and communications data analysis. User interest visualization methods are discussed and chosen and programs are developed to collect users＇ interest and describe it by graph. The visualization results may be used to provide the commercial recommendation or social investigation application for decision makers.

Visual Analysis of the Application and Development Trend of Cinnamon in the Field of Traditional Chinese Medicine Based on CiteSpace

[Objectives]This study was conducted to explore the application and development trend of Chinese medicinal material cinnamon in the field of traditional Chinese medicine.[Methods]Articles published from 2008 to 2023 were exported using"cinnamon"as the subject word in the Chinese database of CNKI.Knowledge graphs were drawn by CiteSpace software on the number of articles published,the institutions publishing articles,and keyword clustering,and the data were sorted by Excel.Combined with the extracted information,the application of cinnamon in traditional Chinese medicine and integrated traditional Chinese and Western medicine was analyzed,and its development trend was discussed and prospected,providing further reference for researchers.[Results]The number of articles published showed an overall upward trend and maintained a high number of articles.In the analysis of the journals publishing articles,the journal with the largest number of articles was West China Journal of Pharmaceutical Sciences,which had certain representativeness.In the analysis of institutions publishing articles,the institution with the largest number of articles was Beijing University of Chinese Medicine,and most institutions had little cooperation.Four categories was obtained in keyword clustering,respectively,general research,component identification,production process and product development of cinnamon."Glycyrrhizin"was the keyword with the earliest burst time,and the hot words that have received much attention in recent years are"medication law"and"data mining".[Conclusions]The application of cinnamon in the field of traditional Chinese medicine is mainly to treat diseases and as raw materials for traditional Chinese medicine products.The development trend is"quality control"and"product research and development".Further research and development of cinnamon in traditional Chinese medicine need to promote the participation of more institutions to participate,and cooperation and communication between institutions should be strengthened to promote the deep integration of production,research and academia.

Visual Analysis of Application and Development Trend of Agarwood Based on CiteSpace

The Chinese traditional medicine,agarwood,is a commonly used medicine for regulating qi,which has many clinical applications because of its unique curative effect.In this study,CiteSpace software was used to visually analyze the application and development trend of agarwood in the literature from CNKI website in the period of 2007-2022.The analysis results showed that the research on agarwood has basically formed core groups of authors,and universities and their affiliated hospitals are main publishing institutions.Moreover,in this study,several research directions of agarwood were also summarized,including clinical research,chemical composition,structural identification and quality standards,showing that agarwood has rich and flexible application prospects in many aspects.On this basis,several suggestions were put forward:strengthening the cooperation between universities and research institutes and building a scientific research cooperation community,and promoting the combination of clinical research and laboratory research.

基于SVG的电力调度图形支撑平台设计与实现

可伸缩矢量图(SVG)是一种基于文本的标准图形描述语言,研究和建立一套基于SVG的图形系统是调度自动化系统图形信息共享和标准化的关键课题之一。基于图形数据一体化的思想提出了面向调度应用的图形模型,实现不同图形格式向SVG标准的转换及拓扑结构的自动生成,并探讨了SVG在调度可视化中的应用。基于SVG的图形系统可以作为不同系统间图形信息共享的平台,同时保证了图形发布的实时性,也为调度可视化提供了基础。

基于Visual Basic 6.0的浮阀塔软件设计

针对浮阀塔手工设计效率低、计算结果不精确等问题,结合可视化编程语言Visual Basic 6.0开发环境在机电系统软件开发中的优缺点,以手工设计方法与工程实践为基础,利用Visual Basic 6.0开发浮阀塔设计软件,实现了浮阀塔结构的快速设计,快速绘制浮阀塔板布阀图及负荷性能图,并能实现EXCEL表输出结构计算参数和水力计算参数。研究结果及应用分析表明,所设计的基于Visual Basic 6.0的浮阀塔软件界面友好、计算结果准确,软件可供工程设计或教学使用,所采用的方法和技术对其他工业应用软件的开发也具有一定的参考价值。

基于Visual Studio与Matlab集成的脑电数据库管理和分析系统

为日益庞大的脑电数据信息提供直观易操作的管理方式,为进一步分析处理提供数据管理基础。采用Visual Studio开发友好的用户界面,结合Access进行病患基本信息的数据管理,结合Matlab进行后台的数据分析处理,在管理脑电数据的基础上,实现分析和辅助诊断的功能。从设计到实施,基本完成了脑电数据库管理系统的建立。但是系统运行有局限性,需要MATLAB的安装环境,下一步会逐步完善实现脱离MATLAB运行。

Visual FoxPro6.0中数据转换成图表输出的方法

随着计算机技术的发展 ,用数据库来管理各类数据已经越来越普遍 ,本文用 VisualFox Pro6.0作为工具 ,为数据库应用系统中的动态数据提供一种转换成图表输出的简单方法。

用Windows98和Visual Foxpro制作有机化学实验装置图课件

用 Windows98中的画图绘制有机化学实验仪器图。将仪器图以二进制形式存入数据库,利用 Visual Fo-xpro 的管理功能,以映射方式管理仪器图库,调用仪器图库文件组装有机化学实验装置图。