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Author: search.filters.author.Ariyakul, YossiriSubject: search.filters.subject.electronic nose

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    Development of a Low-cost Explosive Vapor Detector Using Metal Oxide Gas Sensors
    (2018-08-21)
    Ratchapakorn, Natchanon
    ;
    Ariyakul, Yossiri
    This paper reports on the development of a low-cost electronics nose for explosive detection. The device is composed of an array of metal oxide gas sensors installed in a 3D printer-made sensor cell. The processor and control circuit were implemented on an FPGA. The proposed device is compact, low power, and low cost. Even though, the concentration of the vapors of explosive materials are at sub-part-per million, the capabilities to sense and identify eight explosive materials; trinitrotoluene (TNT), pentaerythritol tetranitrate (PETN), cyclotrimethylenetrinitramine (RDX), ammonium nitrate, urea powder, dynamite, black powder, and double-base propellant in an open-air environment were confirmed. The reproducibility of the proposed device was also verified.
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    FPGA-based odor classification system using principal component analysis
    (2018-08-13)
    Tongyoo, Titiwoot
    ;
    Ariyakul, Yossiri
    Odor classification has been increasingly applied in various applications. The types of odors can be identified by analyzing the output pattern obtained from the odor sensors with different sensitivities to the targeted odor. Therefore, the use of reconfigurable hardware offers advantage for the flexibility to work with a number of sensors with various characteristics. In this study, the FPGA was employed in the development of an odor classification system using principal component analysis (PCA). The soft processor system was developed so that the odor classification based on PCA can be performed standalone. A number of experiments in the closed system were conducted to evaluate the validity of the proposed odor classification system and its capability to identify the kinds of odors. The effectiveness to classify the odor samples was confirmed.