참고문헌
- 김갑조.윤다혜.황종환.선동주 (2017), "특허 토픽 모델링과 성장주기곡선을 통한 유망기술 발굴", 한국지능시스템학회 논문지, 27(4): 357-363.
- 김경호 (2011), "자동차용 반도체에 대한 완성차업체의 대응", 오토저널, 33(8): 93-97.
- 김동욱 (2015), "3D 프린팅을 통한 자동차 인쇄", 한국CAD/CAM학회 학회지, 21(1): 2-6.
- 김현제.정웅태 (2009), "에너지 산업의 환경변화에 따른 기업결합과 규제", 에너지경제연구, 8(1): 127-149.
- 김혜민.한정희.김연배 (2013), "기술사업화 정책 변화 방향 예측에 관한 연구", 산업경제연구, 26(2): 803-824.
- 박세환 (2014), "3D 프린팅 산업동향 분석을 통한 연구개발정책 연구", 과학기술정책, 24(3/4):93-104.
- 박장호.이봉규 (2011), "에너지-IT융합 유망산업 및 육성분야 우선순위 도출시 핵심선정요인 분석", 인터넷정보학회논문지, 12(3): 139-149.
- 박주섭.홍순구.김종원 (2017), "토픽모델링을 활용한 과학기술동향 및 예측에 관한 연구", 한국산업정보학회논문지, 22(4): 19-28. https://doi.org/10.9723/jksiis.2017.22.4.019
- 산업통상자원부.한국산업기술진흥원 (2015), 주요 산업별 글로벌 기술규제, 세종 : 산업통상자원부.
- 산업통상자원부 (2017), 시스템반도체 산업 경쟁력 강화방안, 세종 : 산업통상자원부.
- 손광준.전준표.이명희.권영수.임기택 (2016), 차세대 신산업 창출을 위한 차량용 반도체 산업 육성 전략, 대구 : 한국산업기술평가관리원 KEIT PD Issue Report, 16(2): 25-55.
- 오승현.최하영.윤장혁 (2017), "특허의 토픽 모델링을 활용한 증강현실 기술 모니터링", 대한산업공학회지, 43(3): 213-228. https://doi.org/10.7232/JKIIE.2017.43.3.213
- 이경표.송영근.한우리.이성주 (2013), "2020년 미래 무선통신 유망기술 발굴", 한국통신학회논문지, 38(1): 108-126.
- 이명희.손광준.전준표 (2015), 차량용 반도체 산업 육성을 위한 국내 기반 구축 방안, 대구 : 한국산업기술평가관리원 KEIT PD Issue Report, 15(8): 31-42.
- 이승규.허상현.변영재 (2012), "자동차용 반도체 시장 동향 및 기술현황", 전자공학회지, 39(9): 64-69.
- 임채국.윤두섭.박인채.박광만.고순주.윤병운 (2015), "특허분석을 통한 UI/UX(User Interface/User Experience) 분야의 유망 연구영역 탐색", 경영과학, 32(4): 1-18. https://doi.org/10.7737/KMSR.2015.32.4.001
- 장혜진.노태연.윤병운 (2017), "오피니언 마이닝 및 특허분석을 통한 사용자 니즈기반 이종영역 기술기회 탐색", 대한산업공학회지, 43(1): 39-48. https://doi.org/10.7232/JKIIE.2017.43.1.039
- 전황수.허필선 (2008), "차량용 반도체 시장동향 및 국내외 개발 현황", 주간기술동향, 1370:13-25.
- 정병기.김정욱.윤장혁 (2016), "융합기술의 동향분석을 위한 의미론적 특허분석 접근 방법 :토픽모델링과 교차영향분석의 활용", 지식재산연구, 11(4): 211-240.
- 한국전기자동차협회 (2017), "5G 열쇠 쥔 자율주행차", (2017.05.29.).
- Blei, D. M., Ng, A. Y. and Jordan, M. I. (2003), "Latent Dirichlet Allocation", Journal of machine Learning research, 3: 993-1022.
- Chen, H., Zhang, G., Zhu, D. and Lu, J. (2017), "Topic-based Technological Forecasting based on Patent Data: A Case Study of Australian Patents from 2000 to 2014", Technological Forecasting & Social Change, 119: 39-52. https://doi.org/10.1016/j.techfore.2017.03.009
- Cho, H. P., Lim, H., Lee, D., Cho, H. and Kang, K. (2018), "Patent Analysis for Forecasting Promising Technology in High-rise Building Construction", Technological Forecasting & Social Change, 128: 144-153. https://doi.org/10.1016/j.techfore.2017.11.012
- Cho, Y. and Anderson, T. R. (2017), "Forecasting MBT Technologies using DEA and LR", Technology Analysis & Strategic Management, 29(4): 353-369. https://doi.org/10.1080/09537325.2016.1213384
- Cho, Y. and Daim, T. (2016), "OLED TV Technology Forecasting using Technology Mining and the Fisher-Pry Diffusion Model", Foresight, 18(2): 117-137. https://doi.org/10.1108/FS-08-2015-0043
- Choi, S. and Jun, S. (2014), "Vacant Technology Forecasting using New Bayesian Patent Clustering", Technology Analysis & Strategic Management, 26(3): 241-251. https://doi.org/10.1080/09537325.2013.850477
- Cuhathakurta, S. and Ross, C. (2017), "Autonomous Vehicles and Energy Impacts:Scenario Analysis", Energy Procedia, 143: 47-52. https://doi.org/10.1016/j.egypro.2017.12.646
- Google (2010), "What We're Driving at", (2010.10.9.).
- GPO (2008), "PUBLIC LAW 110-189-CAMERON GULBRANSEN KIDS TRANSPORTATION SAFETY ACT OF 2007".
- Griffiths, T. L. and Steyvers, M. (2004), "Finding Scientific Topics", Proceedings of the National Academy of Sciences, 5228-5235.
- Joung, J. and Kim, K. (2017), "Monitoring Emerging Technologies for Technology Planning using Technical Keyword based Analysis from Patent Data", Technological Forecasting & Social Change, 114: 281-292. https://doi.org/10.1016/j.techfore.2016.08.020
- Jun, S., Lee, S., Ryu, J. and Park, S. (2015), "A Novel Method of IP R&D using Patent Analysis and Expert Survey", Queen Mary Journal of Intellectual Property, 5(4):474-494. https://doi.org/10.4337/qmjip.2015.04.06
- Keller, J. and Heiko, A. (2014), "The Influence of Information and Communication Technology(ICT) on Future Foresight Processes: Results from a Delphi Survey", Technological Forecasting & Social Change, 85: 81-92. https://doi.org/10.1016/j.techfore.2013.07.010
- Kim, G. and Bae, J. (2017), "A Novel Approach to Forecast Promising Technology through Patent Analysis", Technological Forecasting & Social Change, 117: 228-237. https://doi.org/10.1016/j.techfore.2016.11.023
- Kim, S., Jang, D., Jun, S. and Park, S. ( 2015), "A Novel Forecasting Methodology for Sustainable Management of Defense Technology", Sustainability, 7(12): 16720-16736. https://doi.org/10.3390/su71215844
- Kyebambe, M. N., Cheng, G., Huang, Y., He, C. and Zhang, Z. (2017), "Forecasting Emerging Technologies: A Supervised Learning Approach through Patent Analysis", Technological Forecasting & Social Change, 125: 236-244. https://doi.org/10.1016/j.techfore.2017.08.002
- Mashaw, J. L. and Harfst, D. L. (2017), "From Command and Control to Collaboration and Deference: The Transformation of Auto Safety Regulation", Yale Journal on Regulation, 34(1): 167-278.
- Mishra, D., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Dubey, R. and Wamba, S. (2016), "Vision, Applications and Future Challenges of Internet of Things: A Bibliometric Study of the Recent Literature", Industrial Management & Data Systems, 116(7):1331-1355. https://doi.org/10.1108/IMDS-11-2015-0478
- Momeni, A. and Rost, K. (2016), "Identification and Monitoring of Possible Disruptive Technologies by Patent-development Paths and Topic Modeling", Technological Forecasting & Social Change, 104: 16-29. https://doi.org/10.1016/j.techfore.2015.12.003
- Obrecht, M. and Denac, M. (2016), "Technology Forecast of Sustainable Energy Development Prospects", Futures, 84: 12-22. https://doi.org/10.1016/j.futures.2016.09.002
- Ponweiser, M. (2012), "Latent Dirichlet Allocation in R", Diploma thesis, Institute for Statistics and Mathematics, WU(Wirtschaftsuniversitat Wien), Austria.
- Proskuryakova, L. (2017), "Energy Technology Foresight in Emerging Economies", Technological Forecasting & Social Change, 119: 205-210. https://doi.org/10.1016/j.techfore.2016.05.024
- Robinson, D. K. R., Huang, L., Guo, Y. and Porter, A. L. (2013), "Forecasting Innovation Pathways (FIP) for New and Emerging Science and Technologies", Technological Forecasting & Social Change, 80: 267-285. https://doi.org/10.1016/j.techfore.2011.06.004
- Song, K., Kim, K. and Lee, S. (2018), "Identifying Promising Technologies using Patents : A Retrospective Feature Analysis and a Prospective Needs Analysis on Outlier Patents", Technological Forecasting & Social Change, 128: 118-132. https://doi.org/10.1016/j.techfore.2017.11.008
- Suominen, A., Toivanen, H. and Seppanen, M. (2017), "Firms' Knowledge Profiles:Mapping Patent Data with Unsupervised Learning", Technological Forecasting & Social Change, 115: 131-142. https://doi.org/10.1016/j.techfore.2016.09.028
- Wangjiraniran, W., Pongthanaisawan, J., Junlakarn, S. and Phadungsri, D. (2017), "Scenario Analysis of Disruptive Technology Penetration on the Energy Systemt in Thailand", Energy Procedia, 142: 2661-2668. https://doi.org/10.1016/j.egypro.2017.12.208