Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Yee Wei Law"'
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3469 (2024)
The advent of satellite-borne machine learning hardware accelerators has enabled the onboard processing of payload data using machine learning techniques such as convolutional neural networks (CNNs). A notable example is using a CNN to detect the pre
Externí odkaz:
https://doaj.org/article/3a69218d25374dbab4abd2a88c3d4984
Publikováno v:
Entropy, Vol 24, Iss 8, p 1169 (2022)
We consider the problem of optimal maneuvering, where an autonomous vehicle, an unmanned aerial vehicle (UAV) for example, must maneuver to maximize or minimize an objective function. We consider a vehicle navigating in a Global Navigation Satellite
Externí odkaz:
https://doaj.org/article/70489d5095db4511900004961782bb24
Publikováno v:
Symmetry, Vol 13, Iss 1, p 56 (2020)
Autonomous vehicles need to localize themselves within the environment in order to effectively perform most tasks. In situations where a Global Navigation Satellite System such as the Global Positioning System cannot be used for localization, other m
Externí odkaz:
https://doaj.org/article/9520d143dada4da9b52279136e3c54eb
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/9877395159f1452cb057f84092f86f16
Autor:
Yee Wei Law, John Joshua Gliponeo, Dilpreet Singh, John McGuire, Jiajun Liang, Sook-Ying Ho, Jill Slay
Publikováno v:
International Conference on Cyber Warfare and Security. 18:189-198
Hypersonic vehicles are vehicles travelling faster than Mach 5 (five times the speed of sound). Hypersonic technologies have existed since the end of the 1950s, but recent developments of defence applications have led to their resurgence. Hypersonic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc819681620db82d2236410001266f1f
https://doi.org/10.34190/iccws.18.1.950
https://doi.org/10.34190/iccws.18.1.950
Autor:
Jill Slay, Yee Wei Law
Publikováno v:
European Conference on Cyber Warfare and Security. 21:150-159
As the space sector continues to grow, so do the cybersecurity risks. As large as the attack surface of a space system is, the ground segment remains an attractive source of intrusion points, not only because of its relative accessibility but also be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9789397a6f8bbd4de7b7fea957454c2
https://doi.org/10.34190/eccws.21.1.228
https://doi.org/10.34190/eccws.21.1.228
Publikováno v:
Solid State Electronics Letters. 4:10-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf83007e2772babe381fdceee9d56e7
https://doi.org/10.1016/j.ssel.2022.12.001
https://doi.org/10.1016/j.ssel.2022.12.001
There has been a dramatic increase in the number of Internet of Things (IoT) devices and their applications. Furthermore, there is a growing impetus to integrate IoT networks on a global scale, using satellites to expand the range of IoT connectivity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8307ed0f2da5350daccd497b0789a90
https://hdl.handle.net/11541.2/33224
https://hdl.handle.net/11541.2/33224
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2023, p67-76, 10p
Autor:
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Deep neural networks (DNNs) have become essential for processing the vast amounts of aerial imagery collected using earth-observing satellite platforms. However, DNNs are vulnerable towards adversarial examples, and it is expected that this weakness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1b7d2365b3c9fc245315d7a2e227ca
https://hdl.handle.net/11541.2/30500
https://hdl.handle.net/11541.2/30500