Application of spectral droplet analysis method in flammable liquids identification

Chen, Haixiu; Hu, Zhenlin; Wang, Peng; Xu, Wenzhan; Hou, Yan Xue

doi:10.1117/12.2542995

Cited by 2 publications

(2 citation statements)

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“…In the past, X-ray safety systems were used for the detection of hazardous liquids [21] and low energy X-ray transmission technique was one of the techniques employed for this purpose [22]. As well as the low energy X-ray transmission technique, spectral droplet analysis was used for the same purpose [23] . However, since these methods cannot accurately detect some flammable liquids, in other words, the false alarm rate is high, two-stage control consisting of the combination of electronic nasal odour recognition technology and x-ray method has been proposed [24].…”

Section: Qdamentioning

confidence: 99%

A New Approach for Liquid Scanners to Determine Flammable Liquid Concentration in Solutions

Efeoglu¹,

Tuna

2021

Hittite Journal of Science and Engineering

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S trong liquid explosives were obtained by mixing some chemical liquids and these explosives were used in many terrorist attacks in crowded places such as airports, railway stations and shopping malls. They were also used to cause sabotage to facilities that produce, store or use hazardous chemicals in their processes. For this reason, it is very important to take the necessary measures to prevent sabotage and terrorist attacks that may occur in such places in order to ensure public and environmental safety. In this study, a machine learning based liquid control system that can be used in airports, railway stations and shopping malls as well as in places with high fire probability is proposed. The difference of the proposed system from traditional liquid scanner systems is that it can detect the hazardous liquid concentration in the solutions as well as the detection of pure flammable liquids. Linear Discriminant Analysis and Quadratic Discriminant Analysis are used as classifiers and the performances of these techniques are compared. The results show that Quadratic Discriminant Analysis offers higher accuracy and lower error rates compared to Linear Discriminant Analysis.

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Section: Qdamentioning

confidence: 99%

A New Approach for Liquid Scanners to Determine Flammable Liquid Concentration in Solutions

Efeoglu¹,

Tuna

2021

Hittite Journal of Science and Engineering

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“…An electronic nose using machine learning was proposed to detect mixtures of water, methanol and ethanol (Hayasaka et al, 2020). Flammable liquids were detected using the X-ray spectroscopy method (Orachorn, Chankow, & Srisatit, 2019), (H. Chen, Hu, Wang, Xu, & Hou, 2020). Raman spectroscopy method was used for screening and determination of methanol content in ethanol-based products (Wirasuta et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Parameters that Affect the Measurements of Reflection Coefficients and Evaluation of the Effects of Parameters for K Nearest Neighbors-Based Liquid Classification

Efeoglu¹,

Tuna²

2021

Journal of Intelligent Systems: Theory and Applications

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In this study, microwave spectroscopy method has been used in liquid measurements and K nearest neighbors algorithm has been used for classifying liquids. For this aim, firstly an experimental setup consisting of a vector network analyzer, a patch antenna and a bottle have been built to measure the reflection parameter of each liquid used in classification experiments. The aim of this study is to examine both the parameters that may affect the measurements taken with the proposed system and the algorithm parameters that may affect the performance in the classification of liquids and the effects of these parameters. Measurements have been taken by leaving different distances between the antenna and the liquid in order to examine whether the distance of the liquids to the antenna affects the measurement result, and if so, what effect. For examining the parameters of K nearest neighbors algorithm that may affect the classification, the scattering parameters of different liquids measured using the patch antenna have been used as microwave dataset. In addition, the effect of container type has been analyzed. Performance tests have been conducted by weighting and without weighting the algorithm, by measuring the accuracy rate when different numbers of nearest neighbors and different distance metrics have been used. The results reveal that the classification made by applying weighting is more successful than the classification made without weighting regardless of the number of nearest neighbors and used distance metrics.

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Application of spectral droplet analysis method in flammable liquids identification

Cited by 2 publications

References 0 publications

A New Approach for Liquid Scanners to Determine Flammable Liquid Concentration in Solutions

A New Approach for Liquid Scanners to Determine Flammable Liquid Concentration in Solutions

Analysis of the Parameters that Affect the Measurements of Reflection Coefficients and Evaluation of the Effects of Parameters for K Nearest Neighbors-Based Liquid Classification

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