Early identification of technological convergence in numerical control machine tool: a deep learning approach
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Early identification of technological convergence in numerical control machine tool: a deep learning approach Dejing Kong1 · Jianzhong Yang2 · Lingfeng Li2 Received: 7 November 2019 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract The importance of technology convergence of multidisciplinary knowledge has increased recently, and it is a crucial way to spur emerging technologies. Therefore, to understand and identify the technology convergence, which refers to the combination of two or more technological elements for a new system with new functions, is an important issue for both the researchers and the company directors. To identify and investigate the patterns of technology convergence, this research examines the numerical control machine tool, which has typical characteristics of technology convergence in recent years. Based on the numerical control machine tool related publications published between 1997 and 2019, we perform a deep learning approach based on Graph Neural Network model using publication citation network topology and text information together, to identify the technology convergence trajectory and to examine the dynamic role of corresponding technology sub-fields in the technology convergence. The results show that there was an obvious increase for the interdisciplinary citations from information technology to NC machine tool in recent years, and the technology convergence on NC machine tool is signal processing in machining and application of intelligent algorithms in motion control and process planning. In addition, the revelation of the technology convergence early identification contributes to the formation theory of emerging technologies that are interdisciplinary, and is of great interest to researchers, policy makers, and industrialists. Keywords Graph neural network · Deep learning approach · NC machine tool · Publication citation · Technology convergence
Introduction Technological convergence from crossing disciplines has become one of the critical ways to create the emergence of new technologies. Many developed countries intend to identify these emerging technologies so that they can continue to lead and maintain their * Jianzhong Yang [email protected] 1
School of Modern Post, Beijing University of Posts and Telecommunications, Beijing, China
2
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
13
Vol.:(0123456789)
Scientometrics
technological competitiveness (Wang et al. 2018; Curran and Leker 2011), while developing economies view these emerging technologies as excellent “window opportunities” for traditional technology-followers to catch up or even stand a chance for leapfrogging (Kong et al. 2017). The identification of technological convergence at an early stage is significant to seize the development trend of technology for the decision makers (Kim et al. 2013). According to the industry convergence research, four processes are occurring (Kim et al. 2015; Cho et al. 2015; Curran and Leker 2011), which a
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