Data-driven Regional Defense Technology Collaborative Innovation Visualization Research of The Development Situation

Liang Liu; Yirui Yang; Xiujuan Gong; Shu Liu; Fang Zhang; Hongyu Duan; Zhiyi Liu

doi:10.54097/ajst.v3i1.1818

Authors

Liang Liu
Yirui Yang
Xiujuan Gong
Shu Liu
Fang Zhang
Hongyu Duan
Zhiyi Liu

DOI:

https://doi.org/10.54097/ajst.v3i1.1818

Keywords:

Big data, Defense technology collaborative innovation, Development trend, Visualization.

Abstract

Innovation-driven development strategy as China's national strategy, it is of strategic significance for China to form a new international competitive advantage and enhance the long-term driving force for development. This paper constructs an index system the for the evaluation of regional defense technology collaborative innovation , with eight innovation reform experimental area and cities and states as a research object, using big data technology and methods to collect index data online, and at the same time based on AHP level comprehensive evaluation and the "normalization" processing methods of network search heat value, to conduct an in-depth analysis of the development trend of national defense and national defense science and technology collaborative innovation in the region, and form a visual image display. Research results show that: in the process of coordinated development of regional defense science and technology, the pilot zone for innovation and reform in urban areas, including Beijing-Tianjin-Hebei, ChengDeMian and other aeras, are enjoying good momentum of collaborative innovation in defense science and technology. Chengdu, Mianyang and other urban defense science and technology collaborative innovation development trend is good, which provides data support for the regional defense science and technology collaborative innovation research and promote the in-depth development of defense science and technology collaborative innovation.

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References

Ye Yu, Wei Zongcai, Wang Haijun. Urban Planning Response in the Era of Big Data [J]. Planner, 2014 (8): 5-11.

By Chengtian Zhenqin, translated by Zhou Ziheng. The Impact of Big Data [M]. Beijing: People's Post and Telecommunications Press, 2014.

Xu Zipei. Big Data: The Oncoming Data revolution [M]. Guilin: Guangxi Normal University Press, 2012.

Gandomi A , Haider M .Beyond the hype: Big data concepts, methods, and analytics[J].International Journal of Information Management, 2015, 35(2):137-144.

Hilbert, Martin.Big Data for Development: A Review of Promises and Challenges[J].Development Policy Review, 2016, 34(1):135-174.

Cheng Xueqi, Jin Xiaolong, Wang Yuanzhuo, et al. Summary of Big Data Systems and Analytic techniques [J]. Software Journal, 2014 (9): 1889-1908.

Liu Xiaojuan, Zhou Jianhua. Theory, technology and method of digital resource visualization [J]. Intelligence Journal, 2015,34 (02): 168-173 + 193.

Cukier, Kenneth.Date, Date Everywhere [J].The Economist Special Report, February 27. 2011.

Shen Hongyan, Chen-sheng wu, Yi iron plum, et al. Opportunities and Challenges facing macroeconomic analysis in the Era of Big data [J]. Economic research reference, 2014 (63): 19-25.

Viktor.Delete: The Virtue of Forgetting in the Digital Age[M].Princeton University Press, 2nd ed, 2011.

Gloor P A, Laubacher R, Dynes S B C, et al.Visualization of Communication Patterns in Collaborative Innovation Networks: Analysis of some W3C working groups[J].2003.

Li Zuchao, Liang Chunxiao.—— is based on the perspective of innovation subjects in universities [J]. Chinese Higher Education Research, 2012 (07): 81-84.

Zhen Xiaofei. Research on collaborative innovation Mode and Management Mechanism [J]. Scientific Management Research, 2013,31 (01): 21-24.

Xu Hui, Xu Song. Research on the Collaborative Innovation System of National Defense Technology for the Deep Development of Military-civilian Integration [J]. Scientific and technological Progress and Countermeasures, 2015,32 (18): 104-108.

Wang Ruixin, Li Lingjuan. The Theoretical Framework Research of Industry-University-Research Collaborative Innovation [J]. Scientific Management Research, 2017,35 (05): 17-21.

Zhou Xuhong. The Mode and path of collaborative innovation of National Defense Science and Technology [J]. Chinese University Science and Technology, 2012 (12): 4-5 + 13.

Zhang Longpeng, Zhou Liqun, Jiang Wei. Collaborative innovation: Evolutionary logic, Chinese Situation and Policy system [J]. Administrative Administration of China, 2016 (10): 116-121.

Zhang Jihai, Li Bing. System analysis of the collaborative innovation system of National Defense Technology [J]. Journal of Beijing Institute of Technology (Social Science edition), 2017,19 (05): 113-120.

Xie Siquan, Lu Yuanyuan, Li Yanyan. A Preliminary Discussion on the Performance Evaluation Index System of Collaborative Innovation of National Defense Science and Technology [J]. Modern Management Science, 2014 (01): 18-20.

Liu Zhihua, Li Lin, Jiang Yuwen. Performance Evaluation Model and Demonstration Research of Regional Defense Science and Technology Collaborative Innovation in China [J]. Journal, 2014,11 (06): 861-868.

Cen Xiaoteng, Su Jun, Huang Cui. The evaluation study of the —— takes the Shanghai-Jia-Hangzhou G60 Science and Technology Innovation Corridor as an example [J]. Zhejiang Social Science, 2019 (08): 26-33 + 155-156.