Browse > Article
http://dx.doi.org/10.5762/KAIS.2017.18.4.446

The Representative Technology Field Analysis of Domestic Defense Companies in Communication-electronics based on Patent Information Data  

Kim, Jang-Eun (Defense Agency for Technology and Quality(DTaQ))
Cho, Yu-Seup (Defense Agency for Technology and Quality(DTaQ))
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.4, 2017 , pp. 446-458 More about this Journal
Abstract
In order to make a decision about the acquisition of command control communication weapon systems considering the client's technology level requirements, the improvement of the domestic technology level and security of core technology, the person in charge can perform technology evaluation/analysis based on command control communication weapon system patent data. As a method of collecting such patent data, we can collect the patent data of government-designated (Defense Acquisition Program Act Article 35) companies (11 Major defense companies/9 General defense companies) through the Korea Intellectual Property Rights Information System (KIPRIS) of the Korean Intellectual Property Office (KIPO) In this way, we collected 1,526 patents and 134 International Patent Classification (IPC) types through the KIPRIS of the KIPO. Based on these data, we performed three types of analysis, General information analysis, Principal Components Analysis (PCA) and Network analysis, and extracted 27, 19 and 13 IPC types from them, respectively. Based on the above three analysis results, we confirmed 8 IPC types (F41A, F41G, G06F, G01S, H04B, H04L, H04M and H04W) as the key technologies and representative technology fields of domestic communication-electronics defense companies.
Keywords
Patent; International Patent Classification; Principal Components Analysis; Network Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Cebrowski, Arthur K., John J. Garstka. "Network-centric warfare: Its origin and future," US Naval Institute Proceedings, Vol. 124, No. 1, 1998.
2 J. E. Kim, "Effectiveness Analysis and Profile Design Automation Tool Implementation for The Mass Production Weapon System Environmental Stress Screening Test", Journal of the Korea Academia-Industrial cooperation Society, Vol. 17, No. 8 pp. 379-388, 2016. DOI: http://dx.doi.org/10.5762/KAIS.2016.17.8.379   DOI
3 Republic of Korea, "DEFENSE ACQUISITION PROGRAM ACT", 2014.
4 Schmoch, U., et al., "The measurement of scientific and technological activities: Using patent data as science and technology indicators." Patent Manual, 1994.
5 S. Kim, "Basic Study on Patent Statistics and Index Development", Intellectual Property Research Center, 2004
6 S.H. Jeon, et al., Patent Analysis & Technology Forecasting, KYOWOOSA, 2014.
7 WIPO, International Patent Classification Version 2016 Guide to the IPC, 2016.
8 Jolliffe, Ian. Principal component analysis. John Wiley & Sons, Ltd, 2002.
9 Krzanowski, Wojtek. Principles of Multivariate Analysis, Oxford University Press, 1988.
10 JJackson, J. Edward. A user's guide to principal components. Vol. 587, John Wiley & Sons, 2005.
11 Kaiser, Henry F. "The application of electronic computers to factor analysis." Educational and psychological measurement, 1960. DOI: https://doi.org/10.1177/001316446002000116
12 Y.H. Kim et al., Social Network Analysis, 4th edition, PARKYOUNGSA, 2016.
13 Opsahl, Tore, Filip Agneessens, et al., "Node centrality in weighted networks: Generalizing degree and shortest paths," Social networks 32.3 : pp. 245-251, 2010. DOI: https://doi.org/10.1016/j.socnet.2010.03.006   DOI