Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ryan A. Kerekes"'
Publikováno v:
IEEE Access, Vol 11, Pp 136041-136048 (2023)
A full-wave electromagnetic simulation and experimental study is carried out to explore the effects of tree-induced dielectric loading on the receiving properties of an electrically small, earth-grounded wire monopole. It is demonstrated that by conn
Externí odkaz:
https://doaj.org/article/8aa8a5c73ca447409f3781a5787a8fdc
Autor:
Sally Ghanem, Ryan A. Kerekes
Publikováno v:
Sensors, Vol 23, Iss 1, p 393 (2022)
Vehicle re-identification is a demanding and challenging task in automated surveillance systems. The goal of vehicle re-identification is to associate images of the same vehicle to identify re-occurrences of the same vehicle. Robust re-identification
Externí odkaz:
https://doaj.org/article/bb765414d3304b70b40079cf60729485
Publikováno v:
Sensors, Vol 22, Iss 7, p 2803 (2022)
In this work, a framework is proposed for decision fusion utilizing features extracted from vehicle images and their detected wheels. Siamese networks are exploited to extract key signatures from pairs of vehicle images. Our approach then examines th
Externí odkaz:
https://doaj.org/article/3e4ce913c3e94128b6d3f36057a52570
Autor:
Niraj Trivedi, Daniel R. Stabley, Blake Cain, Danielle Howell, Christophe Laumonnerie, Joseph S. Ramahi, Jamshid Temirov, Ryan A. Kerekes, Phillip R. Gordon-Weeks, David J. Solecki
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-17 (2017)
Neuronal migration is vital for neuronal circuit morphogenesis and is thought to rely on microtubule-actomyosin crosstalk. Here, the authors use super-resolution imaging and the drebrin microtubule-actin crosslinking protein to show that microtubule-
Externí odkaz:
https://doaj.org/article/f84ca427585b4917a3f04e7904711de9
Publikováno v:
2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).
Publikováno v:
IEEE Sensors Journal. 20:12307-12316
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a principled and numerically efficient algorithm that unfolds underlying Unions of Subspaces (UoS) structure, present in the data. The union of Subspaces (UoS) is capable of ident
Autor:
Michael R. Moore, Eva Freer, Ryan A. Kerekes, Gregory S. Sheets, Michael Vann, Randall Wetherington, Thomas P. Karnowski
Publikováno v:
Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7 ISBN: 9783030477127
The Oak Ridge National Laboratory (ORNL) has developed and tested a novel system architecture for acquiring high fidelity high-speed data. The approach uses a consumer grade audio recording device that is normally associated with “garage band” re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cccf76397fd590a362722fd9d80d96e
https://doi.org/10.1007/978-3-030-47713-4_15
https://doi.org/10.1007/978-3-030-47713-4_15
Publikováno v:
IEEE Transactions on Electromagnetic Compatibility. 60:122-131
Characterization of unintended radiated emissions (URE) from electronic devices plays an important role in many research areas from electromagnetic interference to nonintrusive load monitoring to information system security. URE can provide insights
Publikováno v:
EUSIPCO
Union of Subspaces (UoS) is a new paradigm for signal modeling and processing, which is capable of identifying more complex trends in data sets than simple linear models. Relying on a bi-sparsity pursuit framework and advanced nonsmooth optimization
Autor:
Mike Kuhn, Ryan Tokola, Jason M. Vann, Brad J Stinson, Ryan A. Kerekes, Michael R. Moore, Thomas P. Karnowski, Adam Anderson
Publikováno v:
VTC Spring
Vehicle counting, time-of-travel analysis, and other traffic studies frequently require the classification and identification of vehicles in a roadway. Unfortunately, many current technologies for identifying vehicles, such as image-based methods tha