Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Zonghua Gu"'
An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-16 (2023)
Abstract Acoustic echo cancelation (AEC) is a system identification problem that has been addressed by various techniques and most commonly by normalized least mean square (NLMS) adaptive algorithms. However, performing a successful AEC in large comm
Externí odkaz:
https://doaj.org/article/e2c3f55a26b845dfadd8ef58787885f7
Publikováno v:
IEEE Access, Vol 9, Pp 132980-132989 (2021)
Deep Neural Networks (DNNs) are extensively deployed in today’s safety-critical autonomous systems thanks to their excellent performance. However, they are known to make mistakes unpredictably, e.g., a DNN may misclassify an object if it is used fo
Externí odkaz:
https://doaj.org/article/ab9170f01c3e48b48d75989a9548f009
Publikováno v:
IEEE Access, Vol 8, Pp 98156-98167 (2020)
A Spiking Neural Network (SNN) can be trained indirectly by first training an Artificial Neural Network (ANN) with the conventional backpropagation algorithm, then converting it into an equivalent SNN. To reduce the computational cost of the resultin
Externí odkaz:
https://doaj.org/article/bf1455c791ca4e528352dfdfe55e3150
Autor:
Abraham Elias Ortega Paredes, Lauro Roberto Nunes, Max Mauro Dias Santos, Leonardo Rodrigues Araujo Xavier de Menezes, Kathya Silvia Collazos Linares, Joao Francisco Justo, Zonghua Gu
Publikováno v:
IEEE Access, Vol 8, Pp 222041-222049 (2020)
Automotive embedded systems comprise several domains, such as in software, electrical, electronics, and control. When designing and testing functions at the top level, one generally ignores the uncertainties arising from the electrical and electronic
Externí odkaz:
https://doaj.org/article/912e51c6f97b463eaa1288cd0721eb2a
Publikováno v:
IEEE Access, Vol 6, Pp 42394-42406 (2018)
Safety-critical embedded systems in application domains, such as aerospace, automotive, and industrial automation, must satisfy dual requirements of fault-tolerance and real-time predictability. Control flow checking is an effective technique for imp
Externí odkaz:
https://doaj.org/article/a8c69be48cf048cba5b1eaf543058ce3
Autor:
Ricardo De Andrade, Kleber N. Hodel, Joao Francisco Justo, Armando M. Lagana, Max Mauro Santos, Zonghua Gu
Publikováno v:
IEEE Access, Vol 6, Pp 21287-21295 (2018)
Controller area network (CAN) is a widely-used bus protocol in automotive distributed embedded systems, but its limited communication bandwidth (up to 1 Mbps) and payload size (up to 8 Bytes) limit its applicability in today's increasingly complex au
Externí odkaz:
https://doaj.org/article/b8ee5ee8a35f4f5d9d7e558664b56e86
Autor:
Bruno Martin De Alcantara Dias, Armando Antonio Maria Lagana, Joao Francisco Justo, Leopoldo Rideki Yoshioka, Max Mauro Dias Santos, Zonghua Gu
Publikováno v:
IEEE Access, Vol 6, Pp 53638-53649 (2018)
A Spark ignition (SI) engine is a complex, multi-domain component of the vehicle powertrain system. The engine control module (ECM) for an SI engine must achieve both high performance and good fuel efficiency. In this paper, we present a model-based
Externí odkaz:
https://doaj.org/article/19831e74a97343ff8fcedc552648fa93
Publikováno v:
ACM Transactions on Embedded Computing Systems. 22:1-17
Facial Expression Recognition (FER) in the wild poses significant challenges due to realistic occlusions, illumination, scale, and head pose variations of the facial images. In this article, we propose an Edge-AI-driven framework for FER. On the algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4fa109bf49bc4159dfea0860c87d295
https://doi.org/10.1145/3587038
https://doi.org/10.1145/3587038
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:1107-1116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ffe3d494088b085c5eb6fa12293f87f
https://doi.org/10.1109/tii.2022.3192085
https://doi.org/10.1109/tii.2022.3192085
Publikováno v:
IEEE Transactions on Computers. 72:29-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccf00ef5d5ae9160082d1b7605e01ed
https://doi.org/10.1109/tc.2022.3202721
https://doi.org/10.1109/tc.2022.3202721