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Featured researches published by Oh-Dal Kwon.


Journal of Materials Processing Technology | 1996

Crater wear measurement using computer vision and automatic focusing

Min-Yang Yang; Oh-Dal Kwon

Abstract In this paper we present a technique to measure the crater wear using image processing and automatic focusing. The new contour detection algorithm, which can adapt in a noisy image, is suggested. It is suitable for eliminating high frequency noises without blurring and with lower processing time. An automatic focusing technique is applied to measure a crater wear depth with a one-dimensional search algorithm for finding the best focus. This method is implemented in the tool microscope driven by a servo motor. The results show that the contour and the depth of crater wear can be measured reliably.


Control Engineering Practice | 1998

A tool condition recognition system using image processing

Min-Yang Yang; Oh-Dal Kwon

Abstract In unmanned machining, when an abnormality condition occurs in a tooling system, a proper action to detect, interpret and determine the condition has to be made. In this paper, a method of sensing the abnormal conditions of tools on the basis of image processing is developed. To recognize the tool conditions, a pattern recognition technique using the multi-layered perceptron with the back-propagation algorithm as a neural network is applied. This paper also presents quantitative measurement of flank wear and crater wear in order to use the data as the input of the neural network.


IFAC Proceedings Volumes | 1997

A Tool Condition Recognition System Using Image Processing

Min-Yang Yang; Oh-Dal Kwon

Abstract In unmanned machining, when an abnormality condition like tool fracture occurs in a tooling system, a proper action to detect, interpret and determine the condition has to be made. In this paper, a method of sensing the abnormal conditions of tool on the basis of image processing is developed. To recognize the tool conditions, a pattern recognition technique using the multi-layered perceptron with the back-propagation algorithm as a neural network is applied. This paper also presents a quantitative measuring system in order to obtain the amount of flank wear and crater wear and use the data as the input of the neural network.


Optical Technology | 2003

Optical power splitter

Sun-tae Jung; Oh-Dal Kwon


Archive | 2000

Apparatus for aligning optical source with optical fiber and optical source module having the apparatus

Oh-Dal Kwon; Seong-Eun Lim; Tae-Woo Yun


Archive | 2001

Device for aligning optical source and optical fiber in optical source module

Gi-Tae Mun; Ki-Soo Park; Oh-Dal Kwon; Young-soo Yang; Dae-Hyun Kang


Archive | 2003

Optical fiber block having semicircular grooves and method for same

Shin-young Yoon; Oh-Dal Kwon


Archive | 1999

Apparatus and method for controlling the positioning of optical fiber blocks and a planar lightwave circuit

Oh-Dal Kwon; Jin-Soo Kim; Hyun-Seob Park


Archive | 2003

Variable alignment-type optical fiber block

Oh-Dal Kwon; Shin-young Yoon; Sang-Gil Shin; Bang-Weon Lee; Jeong-Hwan Song; Sang-Wook Yoo; Young-Gyu Son


Archive | 2003

Ferrule for hermetically packaging optical fibers

Byung-Gil Jeong; Oh-Dal Kwon

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