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Automatic Generation of Chemical Auxiliary Graphs Based on GDI+

Authors :
Dongfeng Liu
Silun Chen
Shunqing Lin
Source :
2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

It is unrealistic to draw different auxiliary graphs manually for different virtual chemistry experiments, which is time-consuming, laborious and inefficient. We provide an automatic graph generation module based on GDI + for the virtual experiment platform, and use object-oriented method to analyze and classify the features of virtual experiment schematics. Chemical graphic library is designed and constructed, including basic primitives such as lines, triangles, curves and circles, as well as complex graph primitives combined by these basic primitives. Singleton pattern is used to design the auxiliary class, and simple factory pattern is used to manage all the primitives classes, and assembly sequence and assembly relation information combined with connection nodes are used to automatically generate the best matching combination graphics and experimental schematic diagram.

Details

Database :
OpenAIRE
Journal :
2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)
Accession number :
edsair.doi...........6bf4bb27ea905cfd6136c0fdf9710202
Full Text :
https://doi.org/10.1109/csei51395.2021.9477745