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This paper presents an open-source framework for collecting time series S-parameter measurements across multiple antenna elements, dubbed MPADA: Multi-Port Antenna Data Acquisition. The core of MPADA relies on the standard SCPI protocol to be compati
Externí odkaz:
http://arxiv.org/abs/2408.16850
Autor:
Connor Jenkins, Asimina Kiourti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The propagation of magnetoinductive (MI) waves across magnetic metamaterials known as magnetoinductive waveguides (MIWs) has been an area of interest for many applications due to the flexible design and low-loss performance in challenging ra
Externí odkaz:
https://doaj.org/article/7d21013f46eb44cb8ede0f853e3db4db
We present a novel methodology for neural network backdoor attacks. Unlike existing training-time attacks where the Trojaned network would respond to the Trojan trigger after training, our approach inserts a Trojan that will remain dormant until it i
Externí odkaz:
http://arxiv.org/abs/2211.01808
Autor:
Jenkins, Connor1 (AUTHOR) jenkins.1124@osu.edu, Kiourti, Asimina1 (AUTHOR)
Publikováno v:
Scientific Reports. 7/15/2024, Vol. 14 Issue 1, p1-12. 12p.
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 542-550 (2024)
Goals: We have recently introduced a new class of wearable loop sensors for joint flexion monitoring that overcomes limitations in the state-of-the-art. Our previous studies reported a proof-of-concept on a cylindrical phantom limb, under static scen
Externí odkaz:
https://doaj.org/article/e59e25bbf4eb4438a9754e55de3c5a10
Autor:
S. Chatzistamatis, C. Kiourti, A. E. Koukounouri, S. Paxinou, C. L. Skordili, C. Louizidis, I. Athanasiadis, S. Kotsopoulos
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 261-267 (2023)
Incorporating emerging surveying technologies, such as unmanned aerial vehicles (UAVs), into architectural education poses multiple challenges. This study places photogrammetry in an academic context and examines its potential impact on conventional
Externí odkaz:
https://doaj.org/article/54bc3b3c19674b9f9369b4d0381fe47d
Recent studies have shown that neural networks are vulnerable to Trojan attacks, where a network is trained to respond to specially crafted trigger patterns in the inputs in specific and potentially malicious ways. This paper proposes MISA, a new onl
Externí odkaz:
http://arxiv.org/abs/2103.15918
Publikováno v:
Sensors, Vol 24, Iss 5, p 1549 (2024)
We have previously reported wearable loop sensors that can accurately monitor knee flexion with unique merits over the state of the art. However, validation to date has been limited to single-leg configurations, discrete flexion angles, and in vitro
Externí odkaz:
https://doaj.org/article/3b5a5320bda94bd2af0b87debf43f7dc
Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show that these training-time vulnerabilities extend to deep reinforcement lea
Externí odkaz:
http://arxiv.org/abs/1903.06638
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