Transactions of Nanjing University of Aeronautics & Astronautics
Global Smartphone Technological Innovation Capacity Analysis Based on Latent Semantic Indexing and Vector Space Model Method
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Abstract:
This paper analyzes the global competitive landscape of smartphone technological innovation capacity using the latent semantic indexing （LSI） and the vector space model （VSM）. It integrates the theory of technological ecological niches and evaluates four key dimensions： patent quality， energy efficiency engineering， technological modules， and intelligent computing power. The findings reveal that USA has established strong technological barriers through standard-essential patents （SEPs） in wireless communication and integrated circuits. In contrast， Chinese mainland firms rely heavily on fundamental technologies. Qualcomm Inc. in USA and Taiwan Semiconductor Manufacturing Company （TSMC） in Chineses Taiwan have built a comprehensive patent portfolio in energy efficiency engineering. While Chinese mainland faces challenges in advancing dynamic frequency modulation algorithms and high-end manufacturing processes. Huawei Inc. in Chinese mainland leads in 5G module technology but struggles with ecosystem collaboration. Semiconductor manufacturing and radio frequency （RF） components still rely on external suppliers. This highlights the urgent need for innovation in new materials and open-source architectures. To enhance intelligent computing power， Chinese mainland firms must address coordination challenges. They should adopt scenario-driven technological strategies and build a comprehensive ecosystem that includes hardware， operating systems， and developer networks.
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Project Supported:
This work was supported in part by the National Social Science Foundation of China （No. 20BGL203）.
Clc Number:
TN92
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