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Generation of Graded Index Profile of Poly(methyl methacrylate) by a Photochemical Reaction
Yun, Hyun-Chu,Im, Sang-Hyuk,Suh, Duck-Jong,Park, O-Ok,Kwon, Moo-Hyun The Polymer Society of Korea 2003 Macromolecular Research Vol.11 No.4
Fabrication of a graded index profile was possible via photochemical reaction of cinnamoyl groups with 350 nm wavelength UV light to form crosslinked structures. Such structural change may induce the change in the refractive index. In order to generate graded index profile in the PMMA polymer optical fiber (POF) with cinnamoyl groups by photochemistry, a methyl methacrylate monomer containing a cinnamoyl functional group in the side chain were prepared. This monomer was then copolymerized with methyl methacrylate with various compositions not only to utilize advantages of poly(methyl methacrylate) but also to overcome the drawbacks of the cinnamate homopolymer. Changes of refractive indices were investigated with various contents of cinnamoyl group and varying irradiation time. Large change in the refractive index (${\Delta}{\approx}0.01$) and its proper profile shape ($g{\approx}2.2$) can be obtained by changing irradiation time.
( Sang-hyun Kim ),( Du-beum Kim ),( Hui-jin Kim ),( O-duck Im ),( Sung-hyun Han ) 한국산업융합학회 2019 한국산업융합학회 논문집 Vol.22 No.4
This study proposes a new approach to control Moving Stuff Action Through Iterative Learning robot with dual arm for smart factory. When robot moves object with dual arm, not only position of each hand but also contact force at surface of an object should be considered. However, it is not easy to determine every parameters for planning trajectory of the an object and grasping object concerning about variety compliant environment. On the other hand, human knows how to move an object gracefully by using eyes and feel of hands which means that robot could learn position and force from human demonstration so that robot can use learned task at variety case. This paper suggest a way how to learn dynamic equation which concern about both of position and path.
Kim, Sang-Hyun,Kim, Du-Beum,Kim, Hui-Jin,Im, O-Duck,Han, Sung-Hyun The Korean Society of Industry Convergence 2019 한국산업융합학회 논문집 Vol.22 No.4
This study proposes a new approach to control Moving Stuff Action Through Iterative Learning robot with dual arm for smart factory. When robot moves object with dual arm, not only position of each hand but also contact force at surface of an object should be considered. However, it is not easy to determine every parameters for planning trajectory of the an object and grasping object concerning about variety compliant environment. On the other hand, human knows how to move an object gracefully by using eyes and feel of hands which means that robot could learn position and force from human demonstration so that robot can use learned task at variety case. This paper suggest a way how to learn dynamic equation which concern about both of position and path.