• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.161-164
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• 1995

Nonlinear analysis of various phenomena has been developed with improvement of computer. The characteristics form nonlinear analysis are available in monitoring and diagnosis state of system. There are many nonlinear property in cutting process, but nonlinear signals have been considered as noise. In this study, nonlinear analysis technique is applied and it will be verified that cutting force is chaos by calculating Lyapunov exponents,fractal dimension and embedding dimension. The relation between characteristic parameter calculated form sensor signal and various cutting condition is investigated.

• 대한기계학회논문집
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• 제19권2호
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• pp.537-547
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• 1995

Numerical study on the chaotic stirring of viscous flow in an alternately driven cavity has been performed. Even under the Stokes-flow assumption, the inherent singularity at the corners made the problem not so easily accessible. With some special treatments to the region near the corners, the biharmonic equation was solved numerically by using the fully implicit method. The velocity field was then used in obtaining the trajectories of passive particles for studying the stirring effect. The three tools developed in the field of the nonlinear dynamics and chaos, that are the Poincare sections, the unstable manifolds, and the Lyapunov exponents, were used in analysing the stirring effect. It was shown that the unstable manifolds obtained in this study well fit the experimental results given by the previous investigators. It is predicted that the best stirring can be obtained when the aspect ratio a is near 0.8 and the dimensionless period T is in the range 4.3 - 4.7.

• 대한기계학회논문집B
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• 제21권12호
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• pp.1615-1623
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• 1997

Numerical study on the chaotic stirring of the screw extruder model proposed has been performed. The velocity field was used in obtaining the trajectories of passive particles for studying the stirring effect of the screw extruder. Two nonlinear dynamical tools, that are Poincare sections and Lyapunov exponents, were used in analysing the stirring effect. The Poincare sections and the Lyapunov exponents show that the stirring effect is most satisfactory, when n(the number of flights in a section) is 1, for the case a (aspect ratio ; flight height divided by the spacing between flights) being O.1. It is also required to set n=3, or 5 at a= 0.2, 0.3 for a uniform stirring.

• 전자공학회논문지SC
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• 제46권5호
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• pp.8-14
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• 2009

음성 인식 연구에서 잡음이 있는 상태에서 음성 발음상의 시작점과 종단점을 찾는 것은 매우 중요하다. 기존 음성인식 시스템의 오차는 대부분 참고템플릿의 시작점과 종단점을 왜란이나 잡음으로 인해 자동적으로 찾지 못했을 경우 발생한다. 따라서 음성 신호상에서 필요 없는 부분을 제거할 수 있는 방법이 필요하다. 기존의 음성 종단점을 찾는 방법으로는 시간도메인 측정방법, 미세시간 에너지 분석, 영교차율 방법이 있다. 위의 방법들은 저주파 신호 노이즈의 영향에 정밀성을 보장을 못한다. 따라서 본 논문에서는 시간영역상에서 리야프노프 지수를 이용한 종단점 인식 알고리즘을 제안하였다. 기존의 방법들과의 비교를 통해 제안한 방법의 성능 우수성을 보였으며, 시뮬레이션 및 실험을 통해 잡음환경에서도 음성종단 인식이 가능함을 보였다.