Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

The Research of the Design of 3D Information Gene Model Oriented to Machine Vision

Authors
Yijie Hao, Shun Zhang, Chunfeng Shen
Corresponding Author
Yijie Hao
Available Online April 2017.
DOI
10.2991/eame-17.2017.79How to use a DOI?
Keywords
component; feature; product gene; gene coding; gene operation; gene expression
Abstract

This paper introduces the concept of genes to the design of the product, put forward and set up product genetic model, aimed at apply the principle of gene expression to implement the product intelligent design, and strengthen the autonomy of product design, reduce artificial participation and related investment, improve the efficiency of product design, promote the development of product intelligent design. This paper first analyzes the problems existing in products genetic model, based on this, puts forward and establish the genetic model based on the feature of the products. On the basis of the definition of product gene structure, puts forward binary coding system of product gene and related operations. Then, based on product gene model, establish gene expression process model, product gene expression process is divided into two steps, transcription and translation, and transcription can be divided to two stages respectively. Finally, apply the theory of this paper to the engine products, to implement the intelligent design of the engine product, and has obtained the expected effect.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-332-6
ISSN
2352-5401
DOI
10.2991/eame-17.2017.79How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yijie Hao
AU  - Shun Zhang
AU  - Chunfeng Shen
PY  - 2017/04
DA  - 2017/04
TI  - The Research of the Design of 3D Information Gene Model Oriented to Machine Vision
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 334
EP  - 337
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.79
DO  - 10.2991/eame-17.2017.79
ID  - Hao2017/04
ER  -