Search
Now showing items 491-500 of 524
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
(
Springer Science and Business Media B.V.
, 2023 , Conference Paper)
Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ...
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ...
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
(
Society of Acoustics
, 2023 , Conference Paper)
Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ...
Classification of Process Pipework Vibration Using Machine Learning
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very ...
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
(
Society of Acoustics
, 2022 , Conference Paper)
Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ...
THz vs. FSO: An Outage Probability and Channel Capacity Performance Comparison Study
(
IEEE
, 2023 , Conference Paper)
The main subject of this work is to make a detailed comparison between the performance of free-space optical (FSO) and terahertz (THz) links under different conditions. To this end, we first perform a detailed modeling of ...
UAV Trajectory Optimization for Directional THz Links Using Deep Reinforcement Learning
(
IEEE
, 2023 , Conference Paper)
As an alternative solution for quick disaster recovery of backhaul/fronthaul links, in this paper, a dynamic unmanned aerial vehicles (UAV)-assisted heterogeneous (HetNet) network equipped with directional terahertz (THz) ...
A Switched-Capacitor Based Multilevel Inverter with Extendable Levels having Enhanced Voltage Gain for Renewable Energy Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
Various Switched-Capacitor based Multilevel Inverters (SCMLI) are suggested in literature. These converters can, however, provide fixed levels of ac output voltage. A higher number of renewable energy units must be linked ...
An Improved ANPC-based 7-level Inverter with Reduced Component and Low TSV for EV Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
The low dc-link voltage requirements of active-neutral-point-clamped (ANPC) inverters with voltage-gain capabilities make them attractive. The system's overall efficiency, reliability, and power density are improved by the ...
Analysis and Extension of Switched Inductor and Capacitor Based High Gain DC-DC Boost Converter with Flexible Control at Higher Gains
(
Institution of Engineering and Technology
, 2023 , Conference Paper)
Microgrids get the majority of their power from renewable sources such as PV (photovoltaic) and FC (fuel cell). To achieve the desired bus voltage in a DC microgrid, a conventional DC-DC converter used as an interconnecting ...