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    탄소중립 이행을 위한 TDLAS 특허 네트워크 분석: 반도체 산업 응용과 혁신 전략을 중심으로 = Patent Network Analysis of TDLAS for Carbon Neutrality: Focusing on Semiconductor Applications and Innovation Strategies

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    https://www.riss.kr/link?id=A110107574

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    This study identifies the industrial diffusion mechanism of Tunable Diode Laser Absorption Spectroscopy(TDLAS), a core foundational technology for industrial process innovation to achieve carbon neutrality, and quantifies thesupply-demand structure of its technological innovation through patent network analysis. By categorizing 2,761 globalTDLAS-related patents into Performance improvement technologies (P) and industrial Application technologies (A), thisresearch measures the knowledge flow between technological layers using block modeling and the Cross-Layer FlowRatio (FR). The analysis reveals that the overall TDLAS technology ecosystem has entered an "Exploitation" stage,characterized by a balanced supply-demand structure with an FR of 1.06. Specifically, through the supply-driven (P to A)path analysis, it was confirmed that the advancement of original technologies, such as signal processing algorithms,facilitates knowledge transfer that overcomes the technical limitations of commercialized products and enhancesoperational efficiency in the field. In contrast, the semiconductor application sector, a strategic industry, remains in an"Exploration" stage with an FR of 4.25, where original technology dominates the market. Despite a relatively high supplyof technology, a structural disconnection was observed where field data fails to feed back into R&D. This studydemonstrates that the TDLAS technology ecosystem forms a dual innovation structure based on the maturity of itsapplication fields. Based on these findings, the study provides differentiated policy implications to acceleratecarbon-neutral process transitions, such as demand-matching governance for mature fields and integrated R&Dsupport to lower entry barriers for national strategic high-precision technology sectors.
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    This study identifies the industrial diffusion mechanism of Tunable Diode Laser Absorption Spectroscopy(TDLAS), a core foundational technology for industrial process innovation to achieve carbon neutrality, and quantifies thesupply-demand structure of...

    This study identifies the industrial diffusion mechanism of Tunable Diode Laser Absorption Spectroscopy(TDLAS), a core foundational technology for industrial process innovation to achieve carbon neutrality, and quantifies thesupply-demand structure of its technological innovation through patent network analysis. By categorizing 2,761 globalTDLAS-related patents into Performance improvement technologies (P) and industrial Application technologies (A), thisresearch measures the knowledge flow between technological layers using block modeling and the Cross-Layer FlowRatio (FR). The analysis reveals that the overall TDLAS technology ecosystem has entered an "Exploitation" stage,characterized by a balanced supply-demand structure with an FR of 1.06. Specifically, through the supply-driven (P to A)path analysis, it was confirmed that the advancement of original technologies, such as signal processing algorithms,facilitates knowledge transfer that overcomes the technical limitations of commercialized products and enhancesoperational efficiency in the field. In contrast, the semiconductor application sector, a strategic industry, remains in an"Exploration" stage with an FR of 4.25, where original technology dominates the market. Despite a relatively high supplyof technology, a structural disconnection was observed where field data fails to feed back into R&D. This studydemonstrates that the TDLAS technology ecosystem forms a dual innovation structure based on the maturity of itsapplication fields. Based on these findings, the study provides differentiated policy implications to acceleratecarbon-neutral process transitions, such as demand-matching governance for mature fields and integrated R&Dsupport to lower entry barriers for national strategic high-precision technology sectors.

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