• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.9-14
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• 2010

In this paper, we propose method of correlation coefficients between sensors by statistical analysis that selects optimal sensors in odor recognition system of selective multi-sensors. The proposed sensor decision method obtains odor data from Metal Oxide Semiconductor(MOS) sensor array and then, we decide optimal sensors based on correlation of obtained odors. First of all, we select total number of 16 sensors eliminated sensor of low response and low reaction rate response among similar sensors. We make up DB using 16 sensors from input odor and we select sensor of low correlation after calculated correlation coefficient of each sensor. Selected sensors eliminate similar sensors' response therefore proposed method are able to decide optimal sensors. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition using correlation coefficient obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 94.67% using six sensors and 96% using only 8 sensors.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.698-703
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• 2006

This paper proposes an approach to search for the odor source using an autonomous mobile robot equipped with vision and odor sensors. The robot is initially navigating around the specific area with vision system until it looks for an object in the camera image. The robot approaches the object found in the field of view and checks it with the odor sensors if it is releasing odor. If so, the odor is classified and localized with the classification algorithm based on neural network The AMOR(Autonomous Mobile Olfactory Robot) was built up and used for the experiments. Experimental results on the classification and localization of odor sources show the validity of the proposed algorithm.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.301-302
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• 2001

본 연구에서는 공단에서 발생하는 악취물질을 냄새센서를 이용하여 상시 감시하는 것을 목적으로 한다. 현재 다종다양한 냄새를 측정하기 위한 악취평가 방법으로는 관능측정법이 이용되고 있다. 그러나 이 방법은 악취판정원의 냄새세기의 차이와 판정원(panel)의 생체리듬에 따른 차이로 인하여 냄새의 객관적인 평가에 무리가 따르며, 언제, 어디서 돌발적으로 발생하는 악취의 연속적인 감시에 문제점을 나타내고 있다. 더욱이 우리나라는 환경 악취에 대해 직접관능측정법에 의한 악취 측정이 실시 되고 있어서 객관적으로 악취평가를 하기가 매우 곤란하다. (중략)

• Electrical & Electronic Materials
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• v.8 no.1
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• pp.48-55
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• 1995

A surface acoustic wave (SAW) sensor for the detection of odorants has been constructed by depositing various phospholipids and fatty acids onto the surface of the SAW device. The characteristics of a SAW device operating at 310 MHz deposited with silicon monoxide were analyzed. Menthone, amylacetate, acetoin, and other organic gases show different affinities to the coated lipids. An explanation is given for different odorant affinities based on the monolayer properties of phospholipids. The identification of odorants depending on the tkpe of lipid used for coating is discussed in terms of the similarity of their normalized resonant frequency shift patterns. Using a number of different lipid-coated SAW devices, odorants can be identified by a computerized pattern recognition algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.49-54
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• 2011

In this paper, we represent a mobile robot which can recognize chemical odor, measure concentration, and track its source indoors. The mobile robot has the function of smell that can sort several gases in experiment such as ammonia, ethanol, and their mixture with neural network algorithm and measure each gas concentration with fuzzy rules. In addition, it can not only navigate to the desired position with vision system by avoiding obstacles but also transmit odor information and warning messages earned from its own operations to other nodes by multi-hop communication in wireless sensor network. We suggest the way of odor sorting, concentration measurement, and source tracking for a mobile robot in wireless sensor network using a hybrid algorithm with vision system and gas sensors. The experimental studies prove that the efficiency of the proposed algorithm for odor recognition, concentration measurement, and source tracking.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.309-312
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• 2005

본 논문에서는 비젼 시스템과 후각 센서를 이용하여 모바일 로봇의 냄새 발생지 탐색 기능을 구현 하였다. 모바일 로봇에서의 비젼 시스템은 많은 연구가 진행되어진 센싱 방식이지만, 후각 기능은 새롭게 지능 시스템의 센싱 방식으로 주목 받고 있는 추세이다. 이에 본 논문은 이전까지의 연구에서 보여준 임베디드 시스템에서의 가스 센싱 기능 구현을 벗어나 신경망 알고리즘을 이용하여 냄새를 구별 할 수 있는 후각 기능을 구현 하였으며, 비젼 시스템과 후각 센서의 복합적인 알고리즘을 통하여 냄새 발생지를 탐색하는 방법을 제시하였다. 또한 이를 실험하기 위해 AMOR(Autonomous Mobile Olfactory Robot)을 구현하여 남새 발생지 탐색 알고리즘의 효용성을 입증 하였다.

• 주류공업
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• v.14 no.4
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• pp.39-44
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• 1994

• Journal of Sensor Science and Technology
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• v.10 no.6
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• pp.310-316
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• 2001

We have been designed and constructed an artificial odour recognition system(electronic nose system) using metal oxide type sensor array for recognizing and analyzing various odours. We proposed an unsupervised clustering method based on Euclidean distances in order for human observer to examine easily multi-dimensional data, which has been measured from an array of sensors. This is a combination of Principal Components Analysis(PCA) used as a starting point for Sammom Mapping Method(SMM). No prior assumptions are made of the classes in which odour belong, and the error due to dimensional reduction at the PCA can be minimized without the disadvantages of rotation of clusters when the order of data sets in a data base was changed in the SMM. An artificial odour recognition system with the proposed unsupervised clustering method was applied to assessment of odour differences of Volatile Organic Compounds(VOCs) and Korean whiskies respectively, and demonstrated the best performances throughout the experimental trails.

• Journal of Sensor Science and Technology
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• v.3 no.2
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• pp.33-39
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• 1994

A quartz crystal microbalance (QCM) sensor system for the detection of odorants, especially environmental pollutant, has been constructed by depositing various phospholipids, activated carbon and lead compound pigment onto the surface of the QCM. The characteristics of a QCM operating at 9 MHz deposited with phosphatidyl- choline were analysed. An explanation is given for different odorant affinities based on the monolayer properties of phospholipids. The identification of odorants is discussed in terms of a comparison of their normalized resonant frequency shift patterns and relative response intensities calculated from the response areas. Applying the lead compound pigment coated QCM, it was possible to detect sulfur compound specifically. Using a number of different lipid-coated QCMs, odorants could be identified by comparing the response patterns.

• KSBB Journal
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• v.13 no.6
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• pp.631-637
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• 1998

The theoretical research of olfaction began about a hundred years ago and the electrophysiological expermental techniques have been used for the olfaction research from 1950's. However, olfaction has not been studied so much as other senses. Recently interest in the offaction mereases for its industrial applications. We descenbe the companson of vertibrate and insect olfactory organs, smell perception mechanism, olfactory signaing transduction, and industnal applications f olfactory system, it is expected that the vanous ongeing researches on the olfactory system will contribute to sensor and scent industnes.