• Journal of the Korean Society of Manufacturing Process Engineers
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• v.11 no.5
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• pp.109-114
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• 2012

The combustion characteristics using forced pulsating flow were experimentally investigated with confined premixed flames stabilized by a reward-facing step. The intermittent combustion has many merits, for instance, such as high load combustion, high heat transfer, low emission gas, compared with those of continuous combustion. For these purposes, data processing of binary image was conducted to reveal the differences between intermittent and continuous combustion. As the results, it was possible to calculate the reaction zone using OH-emission band and, therefore, showed that forced pulsating flow was useful in combustion technology.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.781-783
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• 2004

재산권을 보호하기 위한 주요한 수단의 하나로 한국에서는 인감이 주로 사용되고 있다 본 논문에서는 인감의 동정(identification)을 위한 경제적이면서도 성능이 우수한 방법을 제안한다. 이 방법은 위상한 정상관을 이용하고 있다 이 방법을 이용하면 인감 패턴의 2치화, 세선화, 특징점 추출과 같은 복잡한 전처리과정을 거치지 않고도 등록된 인감과 입력인감이 같은 종류인지를 비교적 용이하게 구분해 낼 수 있다. 실험에서는 7종류의 각각의 인감에 대한 5가지 입력인감인 35개 인감화상을 사용하여 본 방법이 효과적임을 보인다.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.35T no.3
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• pp.46-52
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• 1998

In this paper, after inputting the computer with the attached number plate on the vehicle, using it, the color decomposition method and back propagation neural network proposed the extractable method of the vehicle number plate at high speed. This method separated R, G, B signal form input moving vehicle image to computer through video camera, then after transform this R, G, B signal into input image data of the computer by using color depth of vehicle number plate and store up binary value in the memory frame buffer. After adapting character's recognition algorithm, also improving this, by adapting back propagation neural network makes the vehicle number plate recognition system. Also minimalizing the similar color's confusion, adapting horizontal and vertical extracting algorithm by using the vehicle's rectangular architecture shows the extract and character's recognition of the vehicle number plate at high speed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.7
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• pp.935-943
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• 1993

In this paper, robust recognition system for tilted facial image was developed. At first, standard facial image and lilted facial image are captured by CCTV camera and then transformed into binary image. The binary image is processed in order to obtain contour image by Laplacian edge operator. We trace and delete outermost edge line and use inner contour lines. We label four inner contour lines in order among the inner lines, and then we extract left and right eye with known distance relationship and with two eyes coordinates, and calculate slope information. At last, we rotate the tilted image in accordance with slope information and then calculate the ten distance features between element and element. In order to make the system invariant to image scale, we normalize these features with distance between left and righ eye. Experimental results show 88% recognition rate for twenty five face images when tilted degree is considered and 60% recognition rate when tilted degree is not considered.