|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
Rio Arifando, Shinji Eto and Chikamune Wada
Object detection is crucial for individuals with visual impairment, especially when waiting for a bus. In this study, we propose a lightweight and highly accurate bus detection model based on an improved version of the YOLOv5 model. We propose integratin...
ver más
|
|
|
|
|
|
|
|
|
Asher Sajid, Omar S. Sonbul, Muhammad Rashid and Muhammad Yousuf Irfan Zia
The focus of this article is to present a novel crypto-accelerator architecture for a resource-constrained embedded system that utilizes elliptic curve cryptography (ECC). The architecture is built around Binary Edwards curves (BEC) to provide resistance...
ver más
|
|
|
|
|
|
|
|
|
Jing Zhao, Hui Hou, Peng-Sheng Zheng, Da-Han Wang and Yong-Kuan Yang
Multi-cell cooperative control can be competent for the current increasingly complex biomedical experiments, greatly improving the efficiency of cell manipulation experiments. At present, this kind of multi-cell cooperative control algorithm is becoming ...
ver más
|
|
|
|
|
|
|
|
|
Yarob Abdullah and Zeinab Movahedi
Two crucial challenges in Industry 4.0 involve maintaining critical latency requirements for data access and ensuring efficient power consumption by field devices. Traditional centralized industrial networks that provide rudimentary data distribution cap...
ver más
|
|
|
|