• 제어로봇시스템학회지
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• 제15권3호
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• pp.47-51
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• 2009

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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• pp.383-386
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• 2002

The goal of this study is to realize the PBG lowpass filter using novel PBG structure modification both upper layer and ground layer. It has been designed three aperture slots of ground layer for PBG structure which the center slot shape of ground is two type, rectangular and dumbbell. This PBG LPF llas the character of the broader stopband and smaller size than typical LPF. The measurement results have matched the simulated ones. It has the cutoff frequency of each 4.4650Hz and 3.520Hz and at least -2OdB of the signal suppression at the stopband.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 하계학술대회 논문집
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• pp.507-510
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• 2001

본 논문은 일 라이트의 항균 방취 및 세균 흡착 능력을 공기조화기 및 공기청정기의 프리필터로 함침하여 사용함으로서 필터의 탈취 시험결과는 암모니아, 메틸멀캅탄, 트리메틸아민, 황화수소를 가지고 실험결과 거의 모든 가스를 흡착하였고 필터의 항균시험 결과 두가지의 균주를 사용하였는데 균주 1 - Staphylococcus aureus ATCC 6538과 균주 2 - Escherichia coli ATCC 25922는 균 감소율이 99.9% 이상을 보였다. 따라서 본 논문이 의도하였던 모든 특성을 만족한 결과가 도출되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.81-81
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• 2000

We use camera to apply human vision system in measurement. To do that, we need to know about camera parameters. The camera parameters are consisted of internal parameters and external parameters. we can fix scale factor&focal length in internal parameters, we can acquire external parameters. And we want to use these parameters in automatically driven vehicle by using camera. When we observe an camera parameters in respect with that the external parameters are important parameters. We can acquire external parameter as fixing focal length&scale factor. To get lane coordinate in image, we propose a lane detection filter. After searching lanes, we can seek vanishing point. And then y-axis seek y-sxis rotation component(${\beta}$). By using these parameter, we can find x-axis translation component(Xo). Before we make stepping motor rotate to be y-axis rotation component(${\beta}$), '0', we estimate image coordinates of lane at (t+1). Using this point, we apply this system to Kalman filter. And then we calculate to new parameters whick make minimum error.