| Issue |
MATEC Web Conf.
Volume 176, 2018
2018 6th International Forum on Industrial Design (IFID 2018)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 4 | |
| Section | Information Technology and Cloud Design Service Platform | |
| DOI | https://doi.org/10.1051/matecconf/201817603001 | |
| Published online | 02 July 2018 | |
Empirical Research on Industrial Design Contribution Rate under Statistical Frame
Central South University, School of architecture and art, 410083 Changsha City, Hunan, China
* Corresponding author: a 81413450@qq.com
This paper studies the evaluation method of industrial design contribution rate from the statistical frame, strives to realize the extension of research results and the replication of research method. This paper firstly identifies the connecting points with the statistics of national scientific activities through streamlining the relationship between industrial design and R&D; and then it selects the appropriate calculating model and variants according to the characteristics of industrial design, as well as established the accumulating effects regression model as per the development rules of product; finally it applies the statistical data of random sampling to calculate the industrial rate of ShunDe District in 2012 and analyzes the research results
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.