• Proceedings of the Korean Environmental Sciences Society Conference
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• 2018.10a
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• pp.223-223
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• 2018

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2018.10a
• /
• pp.222-222
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• 2018

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2019.10a
• /
• pp.171-171
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• 2019

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2019.10a
• /
• pp.172-172
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• 2019

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2019.10a
• /
• pp.173-173
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• 2019

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2019.10a
• /
• pp.174-174
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• 2019

• Journal of the Korean Academy of Esthetic Dentistry
• /
• v.19 no.1
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• pp.38-41
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• 2010

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.276-277
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• 2008

본 논문에서는 효율성 높은 차선 인식 및 장애물 검출을 위한 알고리즘을 제안한다. 입력된 영상을 배경영상과 도로 영상으로 나눈 후 도로영역에서 Hough 변환을 이용하여 차선을 검출 하도록 한다. 또한 자동차의 그림자와 같은 특징 정보를 활용하여 주행 중인 차량을 검출한다. 영상의 잡음을 최소화하기 위한 알고리즘을 적용하여 파선 인식률을 높일 수 있는 방법을 연구한다.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.47-49
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• 2005

This paper presents a robust speed control method of induction motors(IM) using a Non-linear PI controller(NPI), NPI is high gain controller in region of small error, and low gain controller in region of large error. so in steady state, system will be robust against variation of load torque. The simulation and experiment results confirm the validity of proposed control scheme.

• Journal of Industrial Technology
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• v.26 no.B
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• pp.227-231
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• 2006

This paper presents a robust speed control method of induction motors(IM) using a Non-linear PI controller(NPI). NPI is high gain controller in region of small error, and low gain controller in region of large error. So in steady state, system will be robust against variation of load torque. The simulation and experiment results confirm the validity of proposed control scheme.