MATEC Web of Conferences
Volume 44, 20162016 International Conference on Electronic, Information and Computer Engineering
|Number of page(s)||6|
|Section||Electronics, Information and Engineering Application|
|Published online||08 March 2016|
Study on the Development of Industry of Internet of Things Based on Competitive GEM Model in Fujian Province
Department of Electronic Information Engineering, Minjiang University, Fuzhou, Fujian China 350121
2 Straits Institute, Minjiang University, Fuzhou, Fujian China 350121
a Di Jun-an (1960- ), male, Professor of the Department of electronics Minjiang University), Research direction: information processing. E-mail: email@example.com
b Li Hao (1980- ), male, lecturer and engineer of Minjiang University, doctoral graduate on information and communication engineering major in Wuhan University of Technology. Research direction: mobile information, electronic commerce, information communication. E-mail:firstname.lastname@example.org
Firstly, the basic theories of internet of things, competitive GEM model and industrial development in Fujian Province were studied in this paper. Then, the factors influencing the cultivation of industrial competitiveness of the internet of things was observed and finally the suggestions on enhancing the competitiveness of internet of things and strengthening the cultivation of talents of internet of things were put forward.
Key words: internet of things / industrial development / Fujian / GEM model
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.