• Title/Summary/Keyword: RandD Capability

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Industrial Cluster System, and Entrepreneurship, RandD Capability and Technological Innovation of SMEs (산업클러스터의 체계성과 중소기업의 기업가정신, R&D역량 및 기술혁신)

  • Shin, Jin-Kyo;Im, Chae-Hyon
    • Management & Information Systems Review
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    • v.33 no.2
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    • pp.171-188
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    • 2014
  • Previous researches on technological innovation of SMEs have several limitations such as lack of study for industrial cluster system and entrepreneurship in SMEs, and ignoring role of RandD capability. So, this study suggested empirically a new model to SMEs. Major results are as follows. Firstly, system of industry and production had a significant and positive effect on entrepreneurship. Secondly, entrepreneurship had a significant and positive effect on technological innovation. Thirdly, system of science and technology had positive and significant effects on RandD capability and technological innovation. Fourthly, RandD capability had a positive and significant effect on technological innovation. Fifthly, business support system was not significantly related to entrepreneurship, RandD capability and technological innovation. Research results revealed that industrial cluster system(system of industry and production, system of science and technology), entrepreneurship and RandD capability were important for improvement of technological innovation performance in SMEs.

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Locationing of telemanipulator based on task capability

  • Park, Young-Soo;Yoon, Jisup;Cho, Hyung-Suck
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.392-395
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    • 1995
  • This paper presents a time efficient method for determining a sequence of locations of a mobile manipulator that facilitates tracking of continuous path in cluttered environment. Given the task trajectory in the form of octree data structure, the algorithm performs characterization of task space and subsequent multistage optimization process to determine task feasible locations of the robot. Firstly, the collision free portion of the trajectory is determined and classified according to uniqueness domains of the inverse kinematics solutions. Then by implementing the extent of task feasible subspace into an optimization criteria, a multistage optimization problem is formulated to determines the task feasible locations of the mobile manipulator. The effectiveness of the proposed method is shown through a simulation study performed for a 3-d.o.f. manipulator with generic kinematic structure.

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