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스마트카메라를 이용한 생산공정의 검사자동화를 위한 패턴인식기술에 관한 연구
심현석(Hyun-Suk Sim),신행봉(Heang-Bong Shin),강언욱(Un-Wook Kang) 한국산업융합학회 2015 한국산업융합학회 논문집 Vol.18 No.4
The purpose of this research is to develop the pattern recognition algorithm based on smart camera for inspection automation, and including external surface state of molding parts or optical parts. By performance verification, this development can be applied to establish for existing reflex data because inputting surface badness degree of scratch"s standard specification condition directly. And it is pdssible to distinguish from schedule error of badness product and normalcy product within schedule extent after calculating the error comparing actuality measurement reflex data and standard reflex data mutually. The proposed technology cab be applied to test for masearing of the smallest 10 pixel unit. It is illustrated the relibility pf proposed technology by an experiment.
심현석(Hyun-Suk Sim),황원준(Won-Jun Hwang),이우송(Woo-Song Lee) 한국산업융합학회 2015 한국산업융합학회 논문집 Vol.18 No.1
For high-accuracy position control of a linear motor, it has been proposed a nonlinear controller including a synchronization algorithm. Linear motors are easily affected by force ripple, friction, and parameter variations because there is no mechanical transmission to reduce the effects of model uncertainties and external disturbances. Synchronization error is also caused by skew motion, model uncertainties, and force disturbance on each axis. Nonlinear effects such as friction and ripple force are estimated and compensated for. The synchronization algorithm is used to reduce the synchronous error of the two side pillars. The performance of the controller is evaluated by computer simulations.
A Study on Image Feedback Control of the Articulated Arm with Four Joints for Unmanned FA
Nguyen Huu Cong,In-Man Park(박인만),Hyun-Suk Sim(심현석) 한국산업융합학회 2014 한국산업융합학회 논문집 Vol.17 No.4
We propose a new approach to design a visual feedback control system based on visual servoing method for unmanned FA. The main focus of this is to illustrate how it is effective to use many features for improving the accuracy of the visual feedback control of industrial articulated robot for assembling and inspection of parts. Some rank conditions, which relate the image Jacobian, and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. The effectiveness of redundant features is verified by the real time experiments on a robot manipulator with 4 joints made in samsung electronics company.