Technology Convergence Evolution of Artificial Intelligence and Internet of Vehicles Based on Patentometrics
Jia Yiwei1,Qi Yong1,2,Wu Lanfen1
(1.School of Intellectual Property, Nanjing University of Science and Technology;2.School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China)
贾怡炜,戚湧,武兰芬. 专利视角下人工智能与车联网技术融合演化研究[J]. 科技进步与对策, 2022, 39(22): 20-29.
Jia Yiwei,Qi Yong,Wu Lanfen. Technology Convergence Evolution of Artificial Intelligence and Internet of Vehicles Based on Patentometrics. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2022, 39(22): 20-29.
[1]王宏起, 夏凡, 王珊珊. 新兴产业技术融合方向预测: 方法及实证[J]. 科学学研究, 2020, 38(6): 1009-1017, 1075.[2]CURRAN, CLIVE-STEVEN. The anticipation of converging industries[M]. London：Springer London, 2013.[3]ROSENBERG N. Technological change in the machine tool industry[J]. Journal of Economic History, 1963, 23(4): 414-443.[4]GILL T.Convergent products: what functionalities add more value to the base[J]. Journal of Marketing, 2008, 72(2): 46-62.[5]OETTINGER A G. Knowledge and power in the 21st century[J]. Science, 1980, 209(4452): 191-198.[6]PHILP J C, RITCHIE R J, ALLAN J. Biobased chemicals: the convergence of green chemistry with industrial biotechnology[J]. Trends in Biotechnology, 2013, 31(4): 219-222.[7]DURRESI M.(Bio)Sensor integration with ICT tools for supplying chain management and traceability in agriculture[J]. Comprehensive Analytical Chemistry, 2016, 74: 389-413.[8]MOORE GE. Cramming more components onto integrated circuits[J]. Proceedings of the IEEE, 1998, 86(1): 82-85.[9]陈钰芬, 王科平. 基于专利技术共现网络的人工智能跨领域融合模式识别[J]. 情报杂志,2021, 40(7): 8-15, 29.[10]KIM M, KIM C. On a patent analysis method for technological convergence[J]. Procedia-Social and Behavioral Sciences, 2012, 40(3): 657-663.[11]BHATIA J, DAVE R, BHAYANI H, et al. SDN-based real-time urban traffic analysis in VANET environment[J]. Computer Communications, 2020, 149(1): 162-175.[12]CHEN M, WANG T, OTA K, et al. Intelligent resource allocation management for vehicles network: an A3C learning approach[J]. Computer Communications, 2020, 151(2): 485-494.[13]ALOQAILY M, OTOUM S, RIDHAWI I A, et al. An intrusion detection system for connected vehicles in smart cities[J]. Ad Hoc Networks, 2019, 90(7): 101842.[14]BEDI P, MEWADA S, VATTI R A, et al. Detection of attacks in IoT sensors networks using machine learning algorithm[J]. Microprocessors and Microsystems, 2021, 82(4): 103814.[15]CALTAGIRONE L,BELLONE M,SVENSSON L,et al.LIDAR-camera fusion for road detection using fully convolutional neural networks[J]. Robotics and Autonomous Systems, 2019, 111(1): 125-131.[16]KHAN M N, AHMED M M. Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data[J]. Accident Analysis & Prevention, 2020, 142(7): 105521.[17]HAO H, MA W, XU H. A fuzzy logic-based multi-agent car-following model[J]. Transportation Research Part C: Emerging Technologies, 2016, 69(8): 477-496.[18]HU J, HUANG M C, YU X. Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models[J]. Accident Analysis & Prevention, 2020, 144(9): 105665.[19]KANAPRAM D T, MARIN-PLAZA P, MARCENARO L, et al. Self-awareness in intelligent vehicles: feature based dynamic Bayesian models for abnormality detection[J]. Robotics and Autonomous Systems, 2020, 134(12): 103652.[20]SHAKARAMI A, SHAHIDINEJAD A, GHOBAEI-ARANI M. An autonomous computation offloading strategy in mobile edge computing: a deep learning-based hybrid approach[J]. Journal of Network and Computer Applications, 2021, 178(3): 102974.[21]MOHAMMADNAZAR A, ARVIN R, KHATTAK A J. Classifying travelers′ driving style using basic safety messages generated by connected vehicles: application of unsupervised machine learning[J]. Transportation Research Part C: Emerging Technologies, 2021, 122(1): 102917.[22]王玏, 吴新年. 新兴技术识别方法研究综述[J]. 图书情报工作, 2020, 64(4): 125-135.[23]吴晓燕, 胡雅敏, 陈方. 基于专利共类的技术融合分析框架研究——以合成生物学领域为例[J]. 情报理论与实践, 2021, 44(10): 179-184.[24]PARK I, YOON B. Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network[J]. Journal of Informetrics, 2018, 12(4): 1199-1222.[25]HAN E J, SOHN S Y. Technological convergence in standards for information and communication technologies[J]. Technological Forecasting and Social Change, 2016, 106: 1-10.[26]王友发, 张茗源, 罗建强，等. 专利视角下人工智能领域技术机会分析[J]. 科技进步与对策, 2020, 37(4): 19-26.[27]翟东升, 张京先. 基于专利技术共现网络的无人驾驶汽车技术融合演化研究[J].情报杂志, 2020, 39(4): 60-66, 19.[28]刘颖琦, 周菲, 席锐. 后疫情时期中国智能网联汽车产业技术研究与合作网络: 国际专利视角[J]. 中国科技论坛, 2021, 37(5): 32-45, 66.[29]LEE M, HE G. An empirical analysis of applications of artificial intelligence algorithms in wind power technology innovation during 1980-2017[J]. Journal of Cleaner Production, 2021, 297(2): 126536.[30]吕一博, 韦明, 林歌歌. 基于专利计量的技术融合研究: 判定、现状与趋势——以物联网与人工智能领域为例[J]. 科学学与科学技术管理, 2019, 40(4): 16-31.[31]BRESCHI S, LISSONI F, MALERBA F. Knowledge-relatedness in firm technological diversification[J]. Research Policy, 2003, 32(1): 69-87.[32]MIKOLOV T, CORRADO G, KAI C, et al. Efficient estimation of word representations in vector space[C]. Proceedings of the International Conference on Learning Representations (ICLR 2013)， 2013.[33]逯万辉, 谭宗颖. 基于深度学习的期刊分群与科学知识结构测度方法研究[J].情报学报, 2020, 39(1): 38-46.[34]FENG S, AN H, LI H, et al. The technology convergence of electric vehicles: exploring promising and potential technology convergence relationships and topics[J]. Journal of Cleaner Production, 2020, 260(7): 120992.
