• Title/Summary/Keyword: Machine olfactory system

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Design of Gas Identification System with Hierarchical Rule base using Genetic Algorithms and Rough Sets (유전 알고리즘과 러프 집합을 이용한 계층적 식별 규칙을 갖는 가스 식별 시스템의 설계)

  • Bang, Yonug-Keun;Byun, Hyung-Gi;Lee, Chul-Heui
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.8
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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.

A Study on the Application of Genetic Algorithms and Fuzzy System to GAS Identification System (가스 식별 시스템 설계를 위한 유전알고리즘과 퍼지시스템 적용에 관한 연구)

  • Bang, Young-Keun;Haibo, Zhao;Lee, Chul-Heui
    • Journal of Industrial Technology
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    • v.31 no.B
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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.

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Design and Implementation of an Emotion Recognition System using Physiological Signal (생체신호를 이용한 감정인지시스템의 설계 및 구현)

  • O, Ji-Soo;Kang, Jeong-Jin;Lim, Myung-Jae;Lee, Ki-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.57-62
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    • 2010
  • Recently in the mobile market, the communication technology which bases on the sense of sight, sound, and touch has been developed. However, human beings uses all five - vision, auditory, palatory, olfactory, and tactile - senses to communicate. Therefore, the current paper presents a technology which enables individuals to be aware of other people's emotions through a machinery device. This is achieved by the machine perceiving the tone of the voice, body temperature, pulse, and other biometric signals to recognize the emotion the dispatching individual is experiencing. Once the emotion is recognized, a scent is emitted to the receiving individual. A system which coordinates the emission of scent according to emotional changes is proposed.