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Development of a Deep Learning-based Electronic Nose System for Real-time Gas Identification
M. G. Kang(강민구),I. Cho(조인철),I. K. Park(박인규) Korean Society for Precision Engineering 2021 한국정밀공학회 학술발표대회 논문집 Vol.2021 No.11월
The demand for gas sensors is increasing because of the growing interest in monitoring indoor/outdoor air pollutions. In particular, small-sized, low-cost, and highly sensitive semiconductor metal oxide (SMO) gas sensors are attracting attention as the next-generation gas sensors. However, there are limitations in the actual applications of SMO gas sensors due to their low selectivity. Although the method of implementing gas identification through multi-sensor-based electronic nose systems is in the limelight, the problems that it is difficult to implement gas identification in real-time, have yet to be resolved. In this study, the selectivity problem could be solved by fabricating a gas sensor array and applying the sensing data from the sensor array to the deep learning network. The fabricated gas sensor array used nanocolumnar films of metal oxides (SnO₂, In₂O₃, WO₃, and CuO) deposited through the glancing angle deposition (GLAD) as the sensing materials, and the convolutional neural network (CNN) was selected as the deep learning network for gas identification. Finally, a real-time gas identification for CO, NH₃, NO₂, Methane, and Acetone gas was achieved with an accuracy of 98% by applying preprocessed sensing data collected from the gas sensor arrays to the CNN.
한우 생산이력제에 활용 가능한 Microsatellite의 분석과 선발
임현태,민희식,문원곤,이재봉,김재환,조인철,이학교,이용욱,이정규,전진태,Lim, H.T.,Min, H.S.,Moon, W.G.,Lee, J.B.,Kim, J.H.,Cho, I.C.,Lee, H.K.,Lee, Y.W.,Lee, J.G.,Jeon, J.T. 한국축산학회 2005 한국축산학회지 Vol.47 No.4
한우의 생산이력제에 활용 가능한 20종의 microsatellite marker를 선정하고 다형성지수, F-통계량, 동일개체 출현확률, 친자감별 확률 및 유전적 거리지수 등을 MSA, CERVUS, FSTAT, GENEPOP, API-CALC 및 PHYLIP 프로그램 등을 연계적으로 활용하여 추정하였다. Heter- ozygosity 추정치에 근거하여 선발한 11개의 microsatellite(TGLA53, TGLA227, ETH185, TGLA122, BM4305, INRA23, ILSTS013, BMS1747, BM2113, BM2113, BL1009와 ETH3)는 Applied Biosystems사의 StockMakersTM와 비교하여 100배 정도의 동일개체 출현확률이 낮아 한우의 생산이력제 적용에 보다 효율적인 것으로 나타났다. 또한 DA 유전적 거리지수와 pairwise-FST 추정치를 활용하여 근접지역의 농장간 근연관계의 정도를 파악할 수 있는 자료로 활용할 수 있을 것으로 사료된다. To test applicability to the Hanwoo traceability system, twenty microsatellite markers were selected and analyzed. MSA, CERVUS, FSTAT, GENEPOP, API_CALC and PHYLIP software was employed serially to estimate heterozygosity, polymorphic information content, F-statistics, identity probability, exclusion probability and genetic distance. Eleven microsatellite markers(TGLA53, TGLA227, ETH185, TGLA122, BM4305, INRA23, ILSTS013, BMS1747, BM2113, BL1009, and ETH3) were selected based on their high heterozygosity values. Identity probability using these markers is one hundred times higher than when using StockMakersTM of Applied Biosystems. This indicates the selected microsatellite markers are appropriate and effective for use in the Hanwoo traceability system. Additionally, estimates of DA genetic distance and pairwise-FST can be utilized to identify genetic relationships between adjacent farms.