Yıl: 2022 Cilt: 22 Sayı: 2 Sayfa Aralığı: 237 - 243 Metin Dili: İngilizce DOI: 10.54614/electrica.2022.21160

Use of Hybrid Clustering and Scattering Parameters for Liquid Classification

With the advancement of technology, the use of machine learning techniques has increased. The need for the prevention of terrorist attacks has brought upon the use of machine learning techniques to explosive detection. Flammable liquids such as alcohol are easily available and widely used in various terrorist attacks. In this study, a new microwave measurement system is developed and a hybrid clustering approach is proposed to classify liquids. With the proposed measurement system, the reflection coefficient (S11 parameter) of liquids in bottles is measured at room temperature and these measurements are used as inputs by the proposed clustering algorithm. The results obtained using the proposed clustering algorithm are compared with the results obtained using a set of well-known clustering algorithms, that is, K-means, hierarchical clustering, farthest first, and fuzzy C-means, in order to make a fair comparison. The results show that the proposed clustering algorithm provides 100% accuracy and is superior to the well-known algorithms used in this study. The results will enable us to manufacture a low-cost liquid scanner for railway stations and shopping malls as well as small airports. The proposed liquid scanner’s design was completed, and the manufacturing phase has been started.
Anahtar Kelime:

Fen > Mühendislik > Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA EFEOĞLU E, TUNA G (2022). Use of Hybrid Clustering and Scattering Parameters for Liquid Classification. Electrica, 22(2), 237 - 243. 10.54614/electrica.2022.21160
Chicago EFEOĞLU Ebru,TUNA Gürkan Use of Hybrid Clustering and Scattering Parameters for Liquid Classification. Electrica 22, no.2 (2022): 237 - 243. 10.54614/electrica.2022.21160
MLA EFEOĞLU Ebru,TUNA Gürkan Use of Hybrid Clustering and Scattering Parameters for Liquid Classification. Electrica, vol.22, no.2, 2022, ss.237 - 243. 10.54614/electrica.2022.21160
AMA EFEOĞLU E,TUNA G Use of Hybrid Clustering and Scattering Parameters for Liquid Classification. Electrica. 2022; 22(2): 237 - 243. 10.54614/electrica.2022.21160
Vancouver EFEOĞLU E,TUNA G Use of Hybrid Clustering and Scattering Parameters for Liquid Classification. Electrica. 2022; 22(2): 237 - 243. 10.54614/electrica.2022.21160
IEEE EFEOĞLU E,TUNA G "Use of Hybrid Clustering and Scattering Parameters for Liquid Classification." Electrica, 22, ss.237 - 243, 2022. 10.54614/electrica.2022.21160