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Weison Lin, Yajun Zhu and Tughrul Arslan
Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites. Instead of using a general-purpose processor (GPP) or graphic processin...
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Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Marco Ottavi and Mauro Olivieri
Functional safety is a key requirement in several application domains in which microprocessors are an essential part. A number of redundancy techniques have been developed with the common purpose of protecting circuits against single event upset (SEU) fa...
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Olusola Adeniyi, Ali Safaa Sadiq, Prashant Pillai, Mohammed Adam Taheir and Omprakash Kaiwartya
The widespread use of technology has made communication technology an indispensable part of daily life. However, the present cloud infrastructure is insufficient to meet the industry?s growing demands, and multi-access edge computing (MEC) has emerged as...
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Qi Shi, Lu Li, Jiaqi Feng, Wen Chen and Jinpei Yu
On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run. Ho...
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Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding and Yuzhan Dong
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as...
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