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Donghyun Kang
Despite the technological achievements of unmanned aerial vehicles (UAVs) growing in academia and industry, there is a lack of studies on the storage devices in UAVs. However, this is an important aspect because the storage devices in UAVs have a limited...
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Swagat Bhattacharyya and Jennifer O. Hasler
While wireless sensor node (WSNs) have proliferated with the rise of the Internet of Things (IoT), uniformly sampled analog?digital converters (ADCs) have traditionally reigned paramount in the signal processing pipeline. The large volume of data generat...
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Khai-Minh Ma, Duc-Hung Le, Cong-Kha Pham and Trong-Thuc Hoang
The security of Internet of Things (IoTs) devices in recent years has created interest in developing implementations of lightweight cryptographic algorithms for such systems. Additionally, open-source hardware and field-programable gate arrays (FPGAs) ar...
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Lu Li, Junwang He, Dongxiao Xu, Wen Chen, Jinpei Yu and Huawang Li
Since deep space exploration tasks, such as space gravitational wave detection, put forward increasingly higher requirements for the satellite platform, the scale and complexity of the satellite management unit (SMU) software are also increasing, and the...
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Andreas G. Savva, Theocharis Theocharides and Chrysostomos Nicopoulos
Nowadays, due to their excellent prediction capabilities, the use of artificial neural networks (ANNs) in software has significantly increased. One of the most important aspects of ANNs is robustness. Most existing studies on robustness focus on adversar...
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Pedro F. Durães and Mário P. Véstias
The very good results achieved with recent algorithms for image classification based on deep learning have enabled new applications in many domains. The medical field is one that can greatly benefit from these algorithms in order to help the medical prof...
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Thomas Mountford, Abhijitt Dhavlle, Andrew Tevebaugh, Naseef Mansoor, Sai Manoj Pudukotai Dinakarrao and Amlan Ganguly
In modern computing, which relies on the interconnection of networks used in many/multi-core systems, any system can be critically subverted if the interconnection is compromised. This can be done in a multitude of ways, but the threat of a hardware Troj...
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Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
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Stavros Kalapothas, Manolis Galetakis, Georgios Flamis, Fotis Plessas and Paris Kitsos
In recent years, the advancements in specialized hardware architectures have supported the industry and the research community to address the computation power needed for more enhanced and compute intensive artificial intelligence (AI) algorithms and app...
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Somdip Dey, Samuel Isuwa, Suman Saha, Amit Kumar Singh and Klaus McDonald-Maier
Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance requirements and reduce power consumption when executing an application...
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