Enhancing Microwave Sensor Performance With Ultrahigh Q Features Using CycleGAN
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019993" target="_blank" >RIV/62690094:18470/22:50019993 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9943996" target="_blank" >https://ieeexplore.ieee.org/document/9943996</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TMTT.2022.3218015" target="_blank" >10.1109/TMTT.2022.3218015</a>
Alternative languages
Result language
angličtina
Original language name
Enhancing Microwave Sensor Performance With Ultrahigh Q Features Using CycleGAN
Original language description
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split ring resonators (CSRRs) operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor approximate to 230 is significantly improved up to approximate to 5040 with loss compensation using a regenerative amplifier. The moderate quality factor restrains the passive mode sensor from distinguishing low concentrations of 1%-4% water in ethanol, while considerably distinct profiles are achievable using the active-mode sensor. The measured passive mode sensor response is then processed using CycleGAN, a machine-learning algorithm conventionally used for image-to-image translation. This strongly enhances the quality factor of the responses, effectively translating them to the active domain. This improvement reduces the limit of water detection down to 1% for the water-inethanol mixture. In addition, the sensor is used for noninvasive monitoring of glucose levels, in both passive and active modes. The resolution of the CycleGAN-boosted response approaches that of the active sensor (approximate to 20 mg/dL), showing a considerable enhancement when compared to the resolution of the passive sensor (approximate to 70 mg/dL).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
ISSN
0018-9480
e-ISSN
1557-9670
Volume of the periodical
70
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
5369-5382
UT code for WoS article
000881963500001
EID of the result in the Scopus database
2-s2.0-85141613235