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기사명/저자명
자율주행 트럭 운송산업의 융합기술군 발전 추이 규명을 위한 특허 인용 네트워크 분석 = Analysis of patent citation network for identifying development trends of convergence technologies of self-driving truck industry / 유다혜, 이보경, 손소영 인기도
발행사항
서울 : 대한산업공학회, 2019.02.15
수록지명
대한산업공학회지 = Journal of the Korean institute of industrial engineers. 제45권 제1호 (2019년 2월), p.40-52
자료실
[서울관] 정기간행물실(524호)  도서위치안내(서울관)
외부기관 원문
외부기관 원문
제어번호
KINX2019076748
주기사항
한국연구재단에서 제공한 KCI 등재학술(후보)지임
원문

초록보기 더보기

Technology convergence among different industries is critical in terms of creating high-value by providing newproducts or services. Recently, technology convergence between self-driving technology implemented in trucksand different industries is expected to be the driving force of technological innovation, and the importance of theanalysis of the convergence technologies between self-driving technology implemented in trucks and differentindustries is increasing. In this study, we try to identify the main technology convergence between the truckindustry and different industries and observe the characteristics of the change in convergence technology. Inparticular, this study used the forward citation method to overcome the limitation of the concept of TechnologyCycle Time (TCT) which does not reflect the influence of technology. Then, community detection was conductedon the series of citation networks of patents formed over TCT period used a moving window size by one year.

Next, we calculated the similarity of two consecutive communities over adjacent windows to investigate the overlapof the communities. When we analyzed the most frequently cited self-driving technology patents implemented inthe truck industry and the IPC code that cited those patents in the community, we found that the main technologyconvergence between the truck industry and different industries are the railway power monitoring system, airpurification system of fire industry, systems supporting medical activities. The results of this study will providemeaningful information to companies seeking to establish R&D related to the convergence technology of truckindustry in which self-driving technology is implemented.

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기사명 저자명 페이지 원문 기사목차
5G 이동통신 기술 비즈니스 모델 분석 = Business model analysis for 5G mobile communications technology 송영근, 장희진 p.81-92
제품혁신수준 분석을 위한 특허정보 기반 지표 개발 = Development of patent information-based indexes for product innovativeness analysis 오승현, 정병기, 고남욱, 최재웅, 이재민, 고병열, 윤장혁 p.11-21
Word Embedding에 PCA를 적용한 개체명 인식 모델을 위한 효율적인 학습방법 연구 = A study on efficient training method for named entity recognition model with word embedding applied to PCA 송은영, 최회련, 이홍철 p.30-39
혼합보충 방식의 오더피킹에 의한 전자상거래 물류센터의 생산성 개선 = Improvement of productivity of an e-commerce warehouse by order picking with mixed storage 김병기, 김선호 p.53-69
자율주행 트럭 운송산업의 융합기술군 발전 추이 규명을 위한 특허 인용 네트워크 분석 = Analysis of patent citation network for identifying development trends of convergence technologies of self-driving truck industry 유다혜, 이보경, 손소영 p.40-52 원문보기 (음성지원, 국회도서관 방문 후 이용 가능 )
중소 금속가공 기업의 경쟁력 향상을 위한 스마트공장 도입 요인 연구 = A study on factors for introducing smart factory to improve competitiveness of small and medium-sized metal processing companies 주영석, 이동희 p.70-80
온라인 소비자 리뷰의 문맥정보 마이닝 = Mining contextual information from online consumer review : the relationship between information gain and product sales : 정보 이득과 제품 판매량의 상관관계 김예진, 오상호, 황성범, 모정훈 p.1-10 원문보기 (음성지원, 국회도서관 방문 후 이용 가능 )
반딧불알고리즘을 적용한 군집 지능 클러스터링 방법 = Firefly algorithm for swarm intelligence clustering method 김성수, 강범수 p.22-29

참고문헌 (40건) : 자료제공( 네이버학술정보 )더보기

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 An, J. H., Kim, K. W., Noh, H. N., and Lee, S. J. (2016), Identifying Converging Technologies in the ICT Industry : Analysis of Patents Published by Incumbents and Entrants, Journal of the Korean Institute of Industrial Engineers, 42(3), 209-221. 미소장
2 Chen, S. H., Huang, M. H., and Chen, D. Z. (2011), Visualization of the technology evolution in smart grid. In Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET’11 :1-7, IEEE. 미소장
3 Identifying and visualizing technology evolution: A case study of smart grid technology 네이버 미소장
4 Cho, M. H., Lee, S. W., Song, S. K., Jung, H. M., and Jeong, D. H. (2012), Interlinking Classification for Securing Interoperability between Papers and Patents, Journal of KIISE : Computing Practices and Letters, 18(12), 911-915. 미소장
5 Griliches, Z. (1990), Patent statistics as economic indicators : a survey (No. w3301), National Bureau of Economic Research. 미소장
6 Functional cartography of complex metabolic networks 네이버 미소장
7 Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data 네이버 미소장
8 Patent citations as a tool for analysing the early stages of convergence 네이버 미소장
9 An empirical evaluation of the technology cycle time indicator as a measure of the pace of technological progress in superconductor technology 네이버 미소장
10 Kim, D. S. and Kwahk, K. Y. (2013), Investigating the global financial markets from a social network analysis perspective, Journal of the Korean Operations Research and Management Science Society, 38(4), 11-33. 미소장
11 Kim, H. O. and Namkung, J. C. (2010), An Object Recognition using ICA-SIFT, The Journal of Korean Institute of Information Technology, 8(4), 115-125. 미소장
12 Kim, J. K. (2001), Dynamic Development of Techno-social Dysfunctions Accompanied with the Spread of New technology and Countermeasures against Them, Journal of Science and Technology Studies, 1(1), 235-259. 미소장
13 Kim, J. K., Choi, I. Y., Kim, H. K., and Kim, N. H. (2009), Social Network Analysis to Analyze the Purchase Behavior Of Churning Customers and Loyal Customers, Korean Management Science Review, 26(1), 183-196. 미소장
14 Kim, J. M. and Shin, J. S. (2014), On the evolutionary technological trajectory using patent citation network and dynamic technology tree analysis : a case study of HVDC(High Voltage DC transmission system, Journal of Technology Innovation, 22(4), 117-143. 미소장
15 Kim, J. U. and Lee, S. J. (2016), Issues for Technology-Humanities Convergence : Patent Keyword Analysis, Journal of the Korean Institute of Industrial Engineers, 42(3), 231-240. 미소장
16 Lee, K. R. and Hwang, J. T. (2005), Analysis of Innovation System Characteristics of Multidisciplinary Technology Fusion, Policy Studies. 미소장
17 Lee, K. R., Kim, J. J., and Lee, S. J. (2014), A Study on the Long-term Sustainability of Green IT, Journal of the Korea Society of Computer and Information, 19(2), 221-231. 미소장
18 Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies. 네이버 미소장
19 Lim, C. K., Yoon, D. S., Park, I. C., Park, G. M., Go S. J., and Yoon, B. W. (2015), Exploring promising research areas in UI/UX(User Interface /User Experience) through patent analysis, Management Science, 32(4), 1-18. 미소장
20 Lim, J. A. and Kwon, S. W. (2011), Analysis of success factors in construction IT convergence : applying AHP, Korean Journal of Construction Engineering and Management, 12(4), 130-138. 미소장
21 Core journal literatures and persistent research themes in an emerging interdisciplinary field: Exploring the literature of evolutionary developmental biology 네이버 미소장
22 Narin, F. (1993), Technology indicators and corporate strategy, Review of Business, 14(3), 19. 미소장
23 Fast algorithm for detecting community structure in networks. 네이버 미소장
24 A patent intelligence system for strategic technology planning 네이버 미소장
25 Park, J. S. (2016), A Study on the Logistics Cost Analysis of Unmanned Vans (Doctoral dissertation, Graduate School of Korea Maritime University). 미소장
26 Park, Y. G., Ko, N. U., and Yoon, J. H. (2015), A Patent Recommendation Method For Technology Opportunity Exploration Using Firms Own Patents : the Case of 3D Printing, The Journal of Intellectual Property, 10(1), 169-200. 미소장
27 Sadeghian Borojeni, S., Friedrichs, T., Heuten, W., Lüdtke, A., and Boll, S. (2016), Design of a Human-Machine Interface for Truck Platooning, In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2285-2291. 미소장
28 Shibata, N., Kajikawa, Y., Takeda, Y., and Matsushima, K. (2008), Detecting emerging research fronts based on topological measures in citation networks of scientific publications, Technovation, 28(11), 758-775. 미소장
29 Shin, D. and Jeon, Y. H. (2015), A Study on the Architectural Programming Method of Community Service Center using Socio-Spatial Network Analysis, Journal of the Architectural Institute of Korea Planning and Design, 31(5), 3-14. 미소장
30 Convergence in biomedical technology 네이버 미소장
31 Identifying emerging topics in science and technology 네이버 미소장
32 Song, T. J. (2015), The Impact of the Operation of Autonomous Truck on the US Economy, Monthly Traffic, 67-70. 미소장
33 Spiliopoulou, M., Ntoutsi, I., Theodoridis, Y., and Schult, R. (2006), Monic : modeling and monitoring cluster transitions, In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 706-711. 미소장
34 Van Nunen, E., Esposto, F., Saberi, A. K., and Paardekooper, J. P. (2017), Evaluation of safety indicators for truck platooning, In Intelligent Vehicles Symposium (IV), IEEE, 1013-1018. 미소장
35 A new approach for detecting scientific specialties from raw cocitation networks 네이버 미소장
36 Wrenn, C. A. (2017), Can Autonomous Technology Reduce the Driver Shortage in the Commercial Trucking Industry?, Doctoral dissertation, California Southern University. 미소장
37 Yoo, J. S. and Lee, H. S. (2013), Patent-based technology convergence analysis, Conference proceeding on the Korean Institute of Industrial Engineers, 1105-1133. 미소장
38 Yoon, J. H. and Gum, Y. J. (2016), Analyzing dynamic patterns of technology convergence using patent co-classification analysis : a case of healthcare service, Conference proceeding on the Korean Institute of Industrial Engineers, 383-391. 미소장
39 Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks 네이버 미소장
40 Zegers, J. C., Semsar-Kazerooni, E., Fusco, M., and Ploeg, J. (2017), A multi-layer control approach to truck platooning : Platoon cohesion subject to dynamical limitations, In Models and Technologies for Intelligent Transportation Systems (MT-ITS), Proc. 5th Int. Conf. on IEEE, 128-133. 미소장
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