IEEE

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

Abstract: Recently, deep-learning-based fault diagnosis methods have been widely studied for rolling bearings. However, these neural networks are lack of interpretability for fault diagnosis tasks.
IEEE

The Secrecy Comparison of RF and FSO Eavesdropping Attacks in Mixed RF-FSO Relay Networks

Abstract: In this paper, we study the secrecy performance of mixed radio-frequency (RF) - free space optical (FSO) systems by considering both RF and FSO eavesdropper attacks. More precisely, we shed ...
IEEE

Model Predictive Control—A Simple and Powerful Method to Control Power Converters

Abstract: This paper presents a detailed description of finite control set model predictive control (FCS-MPC) applied to power converters. Several key aspects related to this methodology are, in depth ...
IEEE

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception

Abstract: We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D point clouds ...
IEEE

High-Reliability FPGA-Based Systems: Space, High-Energy Physics, and Beyond

Abstract: Field-programmable gate arrays (FPGAs) have been shown to provide high computational density and efficiency for many computing applications by allowing circuits to be customized to any ...
IEEE

Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network

Abstract: Prognostics and health management applications rely heavily on predicting industrial equipment’s remaining useful life (RUL). The traditional RUL prediction approaches mainly consider the ...
IEEE

Adaptive Fuzzy Sliding-Mode Fixed-Time Control for Quadrotor Unmanned Aerial Vehicles With Prescribed Performance

Abstract: In this article, an adaptive fuzzy fixed-time sliding-mode formation control scheme with prescribed performance is proposed for quadrotor unmanned aerial vehicles (UAVs) under uncertainties ...
IEEE

Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

Abstract: Rotated object detection is an important research content in the field of remote-sensing images. However, in the rotated object detection, the inconsistency between the loss function and the ...
IEEE

A Review of Recent Research Advances on AlGaN-Based Deep Ultraviolet Light-Emitting Diodes

Abstract: Due to environmental friendliness, small size, long lifetime, and adjustable light-emitting wavelength, AlGaN-based deep ultraviolet light-emitting diodes (DUV-LEDs) have great development ...
IEEE

Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments

Abstract: This paper presents the computation of feasible paths for mobile robots in known and unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement learning algorithm ...
IEEE

MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation

Abstract: We propose a 3-D-printed breast phantom for use in preclinical experimental microwave imaging studies. The phantom is derived from an MRI of a human subject; thus, it is anthropomorphic, and ...
IEEE

Convolutional Neural Network-Based Radar Jamming Signal Classification With Sufficient and Limited Samples

Abstract: Jamming is a big threat to radar system survival and anti-jamming is a part of the solution. The classification of radar jamming signal is the first step toward to anti-jamming. Recently, as ...