Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Colin Gilmore"'
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 4, Pp 1142-1153 (2023)
Calibration is essential in electromagnetic imaging for converting the raw measurements to a usable form for the imaging algorithm. The complexity of the calibration technique can range between a simple comparison of the raw measurement to those of a
Externí odkaz:
https://doaj.org/article/967a257971b440478f6079cf9c3eb717
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 3, Pp 12-23 (2022)
Electromagnetic Imaging (EMI) systems use a large number of co-resident antennas usually connected to a Vector Network Analyzer via a switch. A numerical model is used to model the physical electromagnetic problem and an inversion algorithm is used t
Externí odkaz:
https://doaj.org/article/c27557cb42fd4655bebf4eba89fc82ae
Autor:
Seth Cathers, Kyle Nemez, Max Hughson, Hannah Fogel, Mohammad Asefi, Jitendra Paliwal, Joe LoVetri, Ian Jeffrey, Colin Gilmore
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 3, Pp 860-870 (2022)
Measurements taken with a Vector Network Analyzer (VNA) are often corrupted by the presence of 2-port networks such as cables or amplifiers between the VNA and device-under-test (DUT). These 2-port devices are an essential part of the signal path, bu
Externí odkaz:
https://doaj.org/article/d58bcc11dff24acd8b16eeb64fdb3995
Autor:
Keeley Edwards, Nicholas Geddert, Kennedy Krakalovich, Ryan Kruk, Mohammad Asefi, Joe Lovetri, Colin Gilmore, Ian Jeffrey
Publikováno v:
IEEE Access, Vol 8, Pp 207182-207192 (2020)
We present a neural network architecture to determine the volume and complex permittivity of grain stored in metal bins. The neural networks output the grain height, cone angle and complex permittivity of the grain, using the input of experimental fi
Externí odkaz:
https://doaj.org/article/108e74ff1c264dfc8584d8cbcb14a12b
Publikováno v:
IEEE Access, Vol 7, Pp 128735-128745 (2019)
Electromagnetic inversion systems require that the experimental data be calibrated to the computational inversion model being used. In addition, accurate prior information provided to the inversion algorithm leads to higher-quality images. For some a
Externí odkaz:
https://doaj.org/article/5bf4f079c10d4e94b108a3139df09355
Publikováno v:
International Journal of Biomedical Imaging, Vol 2013 (2013)
We present a pilot study using a microwave tomography system in which we image the forearms of 5 adult male and female volunteers between the ages of 30 and 48. Microwave scattering data were collected at 0.8 to 1.2 GHz with 24 transmitting and recei
Externí odkaz:
https://doaj.org/article/1d513602831a4481bc1aa39baf421ae6
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 22:724-728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62821119093dc1a2adc50df61a26df45
https://doi.org/10.1109/lawp.2022.3223299
https://doi.org/10.1109/lawp.2022.3223299
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2763459a61554d3b21cf647ad63a1f55
https://doi.org/10.1109/tgrs.2022.3232083
https://doi.org/10.1109/tgrs.2022.3232083
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147264cf09a7a89cd7fcd48d5d35743c
https://doi.org/10.23919/eucap57121.2023.10133003
https://doi.org/10.23919/eucap57121.2023.10133003
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::420868004822a247a24c2246ac80cadd
https://doi.org/10.23919/eucap57121.2023.10133306
https://doi.org/10.23919/eucap57121.2023.10133306