• Title/Summary/Keyword: artificial olfactory sensing system

Search Result 3, Processing Time 0.018 seconds

Implementation of unsupervised clustering methods for measurement gases using artificial olfactory sensing system (인공 후각 센싱 시스템을 이용한 측정 가스의 Unsupervised clustering 방법의 구현)

  • 최지혁;함유경;최찬석;김정도;변형기
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2000.10a
    • /
    • pp.405-405
    • /
    • 2000
  • We designed the artificial olfactory sensing system (Electronic Nose) using MOS type sensor array fur recognizing and analyzing odour. The response of individual sensors of sensor array, each processing a slightly different response towards the sample volatiles, can provide enough information to discriminate between sample odours. In this paper, we applied clustering algorithm for dimension reduction, such as linear projection mapping (PCA method), nonlinear mapping (Sammon mapping method) and the combination of PCA and Sammon mapping having a better discriminating ability. The odours used are VOC (Volatile chemical compound) and Toxic gases.

  • PDF

Fabrication and Characterization of Portable Electronic Nose System using Gas Sensor Array and Artificial Neural Network (가스센서 어레이와 인공 신경망을 이용한 소형 전자코 시스템의 제작 및 특성)

  • 홍형기;권철한;윤동현;김승렬;이규정
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 1997.04a
    • /
    • pp.99-102
    • /
    • 1997
  • An electronic nose system is an instrument designed far mimicking human olfactory system. It consists generally of gas (odor) sensor array corresponding to olfactory receptors of human nose and artificial neural network pattern recognition technique based on human biological odor sensing mechanism. Considerable attempts to develop the electronic nose system have been made far applications in the fields of floods, drinks, cosmetics, environment monitoring, etc. A portable electronic nose system has been fabricated by using oxide semiconductor gas sensor array and pattern recognition technique such as principal component analysis (PCA) and back propagation artificial neural network The sensor array consists of six thick film gas sensors whose sensing layers are Pd-doped WO$_3$ Pt-doped SnO$_2$ TiO$_2$-Sb$_2$O$_3$-Pd-doped SnO$_2$ TiO$_2$-Sb$_2$O$_{5}$-Pd-doped SnO$_2$+Pd filter layer, A1$_2$O$_3$-doped ZnO and PdCl$_2$-doped SnO$_2$. As an application the system has been used to identify CO/HC car exhausting gases and the identification has been successfully demonstrated.d.

  • PDF

Recent Trend in Measurement Techniques of Emotion Science (감성과학을 위한 측정기법의 최근 연구 동향)

  • Jung, Hyo-Il;Park, Tae-Sun;Lee, Bae-Hwan;Yun, Sung-Hyun;Lee, Woo-Young;Kim, Wang-Bae
    • Science of Emotion and Sensibility
    • /
    • v.13 no.1
    • /
    • pp.235-242
    • /
    • 2010
  • Emotion science is one of the rapidly expanding engineering/scientific disciplines which has a major impact on human society. Such growing interests in emotion science and engineering owe the recent trend that various academic fields are being merged. In this paper we review the recent techniques in the measuring the emotion related elements and applications which include animal model system to investigate the neural network and behaviour, artificial nose/neuronal chip for in-depth understanding of sensing the outer stimuli, metabolic controlling using emotional stimulant such as sounds. In particular, microfabrication techniques made it possible to construct nano/micron scale sensing parts/chips to accommodate the olfactory cells and neuron cells and gave us a new opportunities to investigate the emotion precisely. Recent developments in the measurement techniques will be able to help combine the social sciences and natural sciences, and consequently expand the scope of studies.

  • PDF