Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal ...
We propose a co-simulation framework comprising biomechanical human body models and wearable inertial sensor models to analyse gait events dynamically, depending on inertial sensor type, sensor ...
The folder shows a Co-Simulation approach between Simulink and Gazebo demonstrating a differential drive control for two TurtleBots. Ubuntu 20.04.4 LTS was used with Gazebo V11. The folder ...
Electromagnetic-thermal co-simulation methods integrate the numerical assessment of electromagnetic fields with thermal analysis to predict the coupled behaviour of systems in which heat generation ...
Abstract: In this paper, we propose an advanced co-simulation platform that performs the unmanned aerial vehicle (UAV) simulation and the wireless network simulation concurrently. As UAV-based ...
Robotic systems such as unmanned autonomous drones and self-driving cars have been widely deployed in many scenarios and have the potential to revolutionize the future generation of computing. To ...
The augmentation of number of gates on chip makes SOC design more difficult. So we have to work on SOC design tools to make designer work easier and manage all the available gates. We propose an ...
A new technical paper titled “CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin–Madison and Washington State ...
Abstract: The use of distributed computation and control is pervasive for a wide range of smart grid research topics. However, recent developments of smart grid co‐simulation platforms have not been ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback