Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Juan Heredia-Juesas"'
Autor:
Jose Martinez-Lorenzo, Jeff Hudack, Yutao Jing, Michael Shaham, Zixuan Liang, Abdullah Al Bashit, Yushu Wu, Weite Zhang, Matthew Skopin, Juan Heredia-Juesas, Yuntao Ma, Tristan Sweeney, Nicolas Ares, Ari Fox
Publikováno v:
Robotics, Vol 11, Iss 5, p 94 (2022)
This work presents and experimentally tests the framework used by our context-aware, distributed team of small Unmanned Aerial Systems (SUAS) capable of operating in real time, in an autonomous fashion, and under constrained communications. Our frame
Externí odkaz:
https://doaj.org/article/11f035993992457d9c968b5394f405ad
Autor:
Yutao Jing, Xianghe Wang, Juan Heredia-Juesas, Charles Fortner, Christopher Giacomo, Rifat Sipahi, Jose Martinez-Lorenzo
Publikováno v:
Drones, Vol 6, Iss 9, p 261 (2022)
This work designed a disturbance-observer-based nonlinear sliding mode surface controller (SMC) and validated the controller using a simulated PX4-conducted quadcopter. To achieve this goal, this research (1) developed a dynamic mathematical model; (
Externí odkaz:
https://doaj.org/article/827f74474a6144b788ac3412ad9e30d3
Publikováno v:
IEEE Access, Vol 7, Pp 1160-1173 (2019)
Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in the imaging domain, employing many transmitting and receiving antenna elements. These systems are suboptimal, in that t
Externí odkaz:
https://doaj.org/article/615c00a7acf94b98b12a9806839b4544
Autor:
Chang Liu, Xu Mao, Chang Wang, Rebecca Liyanage, Juan Heredia Juesas, Ruben Juanes, Jose Angle Martinez‐Lorenzo
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract Accurate predictions of fluid flow, mass transport, and reaction rates critically impact the efficiency and reliability of subsurface exploration and sustainable use of subsurface resources. Quantitative dynamical sensing and imaging can pla
Externí odkaz:
https://doaj.org/article/f0c544982d59456ab8682e8c7fa63ed9
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 70:1620-1629
Autor:
Chang Liu, Xu Mao, Chang Wang, Rebecca Liyanage, Juan Heredia-Juesas, Ruben Juanes, Jose Martinez-Lorenzo
Accurate predictions of fluid flow, mass transport, and reaction rates critically impact the efficiency and reliability of subsurface exploration and sustainable use of subsurface resources. Quantitative dynamical sensing and imaging can play a pivot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6c7678d7d80129b023e770291fdc59
https://doi.org/10.22541/essoar.167169669.96822769/v1
https://doi.org/10.22541/essoar.167169669.96822769/v1
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 69:3360-3371
Conventional security screening systems cannot operate in real time and often suffer from false alarms due to the profile-only imaging without further analysis on the object material properties. Reflectarrays were recently proposed as devices capable
Publikováno v:
IEEE Transactions on Computational Imaging. 7:1189-1204
This paper presents three distributed techniques to find a sparse solution of the underdetermined linear problem $\textbf{g}=\textbf{Hu}$ with a norm-1 regularization, based on the Alternating Direction Method of Multipliers (ADMM). These techniques
Autor:
Chang Liu, Chang Wang, Xu Mao, Weite Zhang, Raquel Isabel Martínez-López, Juan Heredia-Juesas, Jose Angel Martinez-Lorenzo
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Volume 1: Acoustics, Vibration, and Phononics.
Contrary to the active detection methods, the passive sound source localization technologies only rely on the differences among the signals recorded by different receivers to localize the object generating the sound wave, without the knowledge of the