• 전기학회논문지
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• 제61권8호
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• pp.1164-1171
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• 2012

Recently, machine olfactory systems as an artificial substitute of the human olfactory system are being studied actively because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. Even though dimensionality reduction is the very important part, in pattern analysis, We handled effectively the dimensionality reduction by grouping the sensors of which the measured patterns are similar each other, where genetic algorithms were used for combination optimization. To identify the gas type, we constructed the hierarchical rule base with two frames by using rough set theory. The first frame is to accept measurement characteristics of each sensor and the other one is to reflect the identification patterns of each group. Thus, the proposed methods was able to accomplish effectively dimensionality reduction as well as accurate gas identification. In simulation, we demonstrated the effectiveness of the proposed methods by identifying five types of gases.

• 산업기술연구
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• 제31권B호
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• pp.45-50
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• 2011

Recently, machine olfactory systems that have been proposed as an artificial substitute of the human olfactory system are being studied by many researchers because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. The design method adopted the sequential combination between genetic algorithms and TSK fuzzy logic system. First, the proposed method allowed the designed gas identification system effectively performing the pattern analysis because it was able to avoid the curse of dimensionality caused by use of a large number of sensors. Secondly, the method led the gas identification system to good performance because it was able to deal with drift characteristics of the sensor data by using description ability of the fuzzy system for nonlinear data. In simulation, we demonstrated the effectiveness of the designed gas identification system by using the simulation results of five types of gases.

• 한국인터넷방송통신학회논문지
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• 제10권1호
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• pp.57-62
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• 2010

최근에 모바일 시장에서는 시각과 청각, 촉각에 의존하여 상대방에게 의사를 전달하는 기술이 발전되고 있지만, 인간이 의사소통을 하는데 있어서 시각 촉각 청각 후각 미각인 오감의 요소를 필요로 한다. 그러므로 본 논문에서는 음성과 체온, 맥박 같은 생체신호를 통하여 감정을 인지하고 향기가 나는 모바일 기기를 사용하여 상대방에게 의사를 전달 할 때 오감의 요소 중 후각적인 요소를 접목하였다. 또한 사용자 감정의 변화에 따라 적절한 향기를 발산하도록 하여 사용자의 감정을 컨트롤 할 수 있는 시스템을 설계하고 구현하였다.