Machine learning for the control and monitoring of electric machine drives: Advances and trends
S Zhang, O Wallscheid… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
Artificial intelligence in electric machine drives: Advances and trends
S Zhang - Authorea Preprints, 2023 - techrxiv.org
This review paper systematically summarizes the existing literature on applying classical AI
techniques and advanced deep learning algorithms to electric machine drives. It is …
techniques and advanced deep learning algorithms to electric machine drives. It is …
Cloudsatnet-1: Fpga-based hardware-accelerated quantized cnn for satellite on-board cloud coverage classification
CubeSats, the nanosatellites and microsatellites with a wet mass up to 60 kg, accompanied
by the cost decrease of accessing the space, amplified the rapid development of the Earth …
by the cost decrease of accessing the space, amplified the rapid development of the Earth …
Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning
This paper suggests an optimisation approach in heterogeneous computing systems to
balance energy power consumption and efficiency. The work proposes a power …
balance energy power consumption and efficiency. The work proposes a power …
Control and visualisation of a software defined radio system on the Xilinx RFSoC platform using the PYNQ framework
J Goldsmith, C Ramsay, D Northcote, KW Barlee… - IEEE …, 2020 - ieeexplore.ieee.org
The availability of commercial Radio Frequency System on Chip (RFSoC) devices brings
new possibilities for implementing Software Defined Radio (SDR) systems. Such systems …
new possibilities for implementing Software Defined Radio (SDR) systems. Such systems …
A Flexible System-on-Chip Field-Programmable Gate Array Architecture for Prototyping Experimental Global Navigation Satellite System Receivers
M Majoral, C Fernández-Prades, J Arribas - Sensors, 2023 - mdpi.com
Global navigation satellite system (GNSS) technology is evolving at a rapid pace. The rapid
advancement demands rapid prototyping tools to conduct research on new and innovative …
advancement demands rapid prototyping tools to conduct research on new and innovative …
MPSoC4Drones: An open framework for ROS2, PX4, and FPGA integration
Autonomous drones are facing a tough efficiency challenge due to limitations on the utilized
processing hardware units. Among these limitations is the tradeoff between fast computing …
processing hardware units. Among these limitations is the tradeoff between fast computing …
Heterogeneous Flight Management System (FMS) Design for Unmanned Aerial Vehicles (UAVs): Current Stages, Challenges, and Opportunities
In the Machine Learning (ML) era, faced with challenges, including exponential multi-sensor
data, an increasing number of actuators, and data-intensive algorithms, the development of …
data, an increasing number of actuators, and data-intensive algorithms, the development of …
FPGA-based CNN for real-time UAV tracking and detection
Neural networks (NNs) are now being extensively utilized in various artificial intelligence
platforms specifically in the area of image classification and real-time object tracking. We …
platforms specifically in the area of image classification and real-time object tracking. We …
A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design
K Bjerge, JH Schougaard, DE Larsen - Microprocessors and microsystems, 2021 - Elsevier
This paper presents a configurable convolutional neural network accelerator (CNNA) for a
system-on-chip (SoC). The goal was to accelerate inference in different deep learning …
system-on-chip (SoC). The goal was to accelerate inference in different deep learning …