Zobrazeno 1 - 10
of 344
pro vyhledávání: '"Joe Lovetri"'
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
Autor:
Marzieh Eini Keleshteri, Vladimir I. Okhmatovski, Ian Jeffrey, Martina Teresa Bevacqua, Tommaso Isernia, Joe LoVetri
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 3, Pp 1324-1340 (2022)
Quantitative microwave imaging employing an ideal Veselago lens is demonstrated using synthetic 2D experiments. Reconstructions of the complex-valued dielectric constant of an arbitrary object-of-interest are obtained from noiseless data using a non-
Externí odkaz:
https://doaj.org/article/b095cdd1bb804aca80d29877f1816923
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
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 2, Pp 1057-1070 (2021)
Analytic expressions for the sinusoidal steady-state electromagnetic field associated with an ideal Veselago lens illuminated by either a line-source (2D case) or an electric dipole point-source (3D case) are obtained based on power flow consideratio
Externí odkaz:
https://doaj.org/article/42398c963ab64047a28580b4c113bff4
Publikováno v:
IEEE Access, Vol 8, Pp 182092-182104 (2020)
A deep learning approach is proposed for performing tissue-type classification of tomographic microwave and ultrasound property images of the breast. The approach is based on a convolutional neural network (CNN) utilizing the U-net architecture that
Externí odkaz:
https://doaj.org/article/cd038258e25945c492d7d6216a247b2b
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:
Sensors, Vol 22, Iss 18, p 7087 (2022)
A new breast imaging system capable of obtaining ultrasound and microwave scattered-field measurements with minimal or no movement of the breast between measurements has recently been reported. In this work, we describe the methodology that has been
Externí odkaz:
https://doaj.org/article/b9835d6341c74153af9b086c80ffb2bd
Publikováno v:
SoftwareX, Vol 15, Iss , Pp 100728- (2021)
Interpreting reconstructed medical images and assessing their quality is a challenging problem that demands a consistent framework for extracting quantitative information from the images. The challenges are more pronounced for microwave images, as th
Externí odkaz:
https://doaj.org/article/db769bce23024636b0ba9df92047992b
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