IEEE

Modeling of Grid-Forming and Grid-Following Inverters for Dynamic Simulation of Large-Scale Distribution Systems

Abstract: Historically, distribution system planning studies mainly focused on steady state and quasi-steady state analysis, with limited attention paid to dynamic analysis. This paper develops ...
IEEE

Modeling and Simulation of Pedestrian Behavior in Traffic Environment: A Systematic Review of Approaches and Software

Abstract: Pedestrian behavior modeling and simulation play a critical role in traffic safety, urban planning, and transportation system optimization. In traffic environments, these models are used to ...
IEEE

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Abstract: Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper ...
IEEE

Open-Phase Fault and Current Sensor Fault Diagnosis Based on Spatial Distributions of Phase Currents for Dual Three-Phase PMSM Drives

Abstract: This article presents a method for diagnosing and identifying open-phase fault and current sensor fault in dual three-phase permanent synchronous motor (DTP-PMSM) drives. The fault diagnosis ...
IEEE

Hybrid PWM Strategy of SVPWM and VSVPWM for NPC Three-Level Voltage-Source Inverter

Abstract: Neutral-point (NP) voltage drift is the main technical drawback of NP-clamped (NPC) three-level inverters. Traditional space vector pulsewidth modulation (SVPWM) is incapable of controlling ...
IEEE

LARG: A Lightweight Robotic Gripper With 3-D Topology Optimized Adaptive Fingers

Abstract: Adaptive grasping is an important approach for robotic grippers to handle objects with irregular shapes. Compared to rigid-link-based adaptive grippers, the continuum-structure grippers ...
IEEE

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

Abstract: The increasing prevalence of chronic non-communicable diseases makes it a priority to develop tools for enhancing their management. On this matter, Artificial Intelligence algorithms have ...
IEEE

An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application

Abstract: Lithium-ion batteries (LIBs) are being intensively studied and universally used as power sources for electric vehicle applications. Despite the staggering growth in sales of LIBs worldwide, ...
IEEE

The Role of Employees in Digital Transformation: A Preliminary Study on How Employees’ Digital Literacy Impacts Use of Digital Technologies

Abstract: Even though digital technologies such as cloud technologies are prevalent in transforming businesses, the role of employees and their digital skills in the process is, to a large extent, ...
IEEE

An All-DC Offshore Wind Farm With Series-Connected Turbines: An Alternative to the Classical Parallel AC Model?

Abstract: In this paper, the concept of an all-dc wind park with series-connected turbines is investigated as an alternative to the classical ac parallel or radial wind park. This paper presents a ...
IEEE

False Data-Injection Attack Detection in Cyber–Physical Systems With Unknown Parameters: A Deep Reinforcement Learning Approach

Abstract: This article studies the detection of discontinuous false data-injection (FDI) attacks on cyber–physical systems (CPSs). Considering the unknown stochastic properties of the process noise ...
IEEE

A Deep Learning Approach to Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDSs) play a crucial role in defending computer networks. However, there are concerns regarding the feasibility and sustainability of current approaches ...