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윤현중,Yun, Hyeon-Jung 한국계육협회 2006 월간 닭고기 Vol.131 No.-
종계 생산성에 문제를 일으키고 병아리의 증체를 더디게 하는 면역 억제성 질병들 중에 곰팡이가 일으키는 질병들이 있다. 한 동안 원인을 알 수 없었던 여러 가지 면역 억제 증상과 피해에 대해 그 동안 여러 가지 질병이 의심을 받아왔다. 곰팡이로 인한 질병도 그 중 하나이다. 아직까지 국내에서는 간혹 발생하는 것으로 여겨지고 있는 곰팡이로 인한 피해와 대책은 무엇이 있는지 간략히 살펴보았다.
윤현중 慶北專門大學(영주경상전문대학) 2002 慶北專門大學 論文集 Vol.21 No.-
Gambling contains illegal achievement for wordy desires in human life. At the end of gambling, it completely destroys humans life and results in stealing. Because of the dangerousness, gambling is officially prohibited. Though gambling in KYOGEN, roughly speaking, categories in small type of gambling, it includes contradiction in society because of destruction of life. Drinking is a behaviour out of normal life and includes illness itself. Since drinking makes people stay illogical state, it ends in destruction without logical conditions in life. Drinking in KYOGEN shows us illness, habit, destruction of life, and contradiction in society The Carnal pleasures in KYOGEN is an object of lust and they are treated as an existence of non-self-consciousness. Thus because of lust, destruction of life is occurred and results in contradiction in society. As mentioned above, the commonness in Gambling, Drinking, Carnal pleasures is contradiction In society resulted from destruction of individual life. KYOGEN shows us directly lust and pleasure loving owing to lack of self-control destroys logical order and produces illness in society.
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윤현중,Kasra Eshaghi,Goldie Nejat,Beno Benhabib 제어·로봇·시스템학회 2022 제어·로봇·시스템학회 논문지 Vol.28 No.6
This paper addresses the localization and topology estimation for a robotic swarm. The concept of a swarm, a conceptual group of robots, has been used for more effective navigation of the robotic swarm. Localization is an optimization problem to determine the pose—or the position and orientation—of the swarm, while topology estimation is an optimization problem to determine the formation of the robots in the swarm. Optimization approaches have been proposed for the localization and topology estimation problems that combine sensor-based and movement command-based estimation using a Kalman filter. The simulation results are presented to demonstrate the effectiveness of the proposed method. .