Özet
Determining the dielectric properties of materials based on their microwave features is an important research topic in various disciplines and industries. Accurate retrieval of solid material dielectric properties is one of the challenges in non-destructive measurement approaches. In this work, the dielectric property of three different flat-surface solid materials (kestamid, delrin and alumina) were retrieved from reflection coefficients through deep learning model from 0.5 to 6 GHz. The deep learning model was designed based on Debye parameters and reflection coefficients computed from the open-ended coaxial probe admittance model. The results were compared with commercially available Speag Dielectric Assessment Kit (DAK) software and the calculated percentage dielectric property differences are 5.5%, 6.8% and 7.5% for kestamid, delrin and alumina, respectively.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Proceedings |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 13-14 |
Sayfa sayısı | 2 |
ISBN (Elektronik) | 9781946815163 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2022 |
Etkinlik | 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Denver, United States Süre: 10 Tem 2022 → 15 Tem 2022 |
Yayın serisi
Adı | 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Proceedings |
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???event.eventtypes.event.conference??? | 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 |
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Ülke/Bölge | United States |
Şehir | Denver |
Periyot | 10/07/22 → 15/07/22 |
Bibliyografik not
Publisher Copyright:© 2022 USNC-URSI.
Finansman
ACKNOWLEDGEMENT This work has received funding from Scientific and Technological Research Council of Turkey under grant agreement 118S074 and COST Action grant agreement CA17115.
Finansörler | Finansör numarası |
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European Cooperation in Science and Technology | CA17115 |
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | 118S074 |