• Title/Summary/Keyword: 그린카

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Measuring the efficiency of technology innovation of the Global Green Car Companies by ANP/DEA Model (특허지표를 고려한 글로벌 자동차 기업의 그린 카 기술혁신 효율성 평가를 위한 ANP/DEA 통합모형)

  • Kim, HyunWoo;Kim, Jaehee;Kim, Sheung-Kown
    • Journal of Technology Innovation
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    • v.20 no.3
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    • pp.255-285
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    • 2012
  • As the environmental performance is getting important in global automotive industry sector, there is a need to build the intellectual capacity. Hence it is important to measure the performance of the green car patent development of global automotive companies. To do this, we propose to use Data Envelopment Analysis(DEA) Model with Analytic Network Process(ANP), which generates weight coefficients of inputs and outputs for DEA-AR(Assurance Region) model. We considered three inputs: corporate asset, R&D expenditures, number of employees, and three outputs: patent counts, patent citations and patent claims. The results showed that our model could measure the potential of green car technology, and we could see the trend of the green car industry sector.

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A Scheme of Problem handling for Automotive Sharing Applications Using SURF Algorithm (SURF 알고리즘을 이용한 자동차 공유 애플리케이션 문제 처리 기법)

  • Cho, Ik-Hyun;Lee, Keum-Ho;Jeon, You-Boo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.96-98
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    • 2018
  • 요즘 많은 사람이 사용하고 있는 쏘카, 그린카, 피플카, 딜카 등 카 셰어링(car sharing) 애플리케이션 방식에 대한 차량 외관 부분이 많은 문제점으로 발생하고 있다. 본 논문에서는 기존의 카 셰어링 시스템에 SURF(Speed-Up Robust Feature) 시스템 방식을 휴대폰 애플리케이션에 적용하여 카 셰어링 시스템에서 발생하고 있는 외부적인 훼손에 대하여 사용자들의 안정적인 보안 솔루션을 제공하고자 한다.