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Now showing items 3831-3840 of 3878
Changes in Driving Behavior Across Age Cohorts in an Arab Culture: The Case of State of Qatar
(
Elsevier B.V.
, 2018 , Conference Paper)
In this investigation, we aimed to examine the structure of the Driving Behavior Questionnaire (DBQ) across age cohorts spanning 14 to 55 years in the State of Qatar. In addition, we aimed to examine variations in driving ...
Pedestrians' Speed Analysis at Signalized Crosswalks
(
Elsevier B.V.
, 2018 , Conference Paper)
Pedestrian speed is essential for designing signal timings as well as for understanding pedestrian safety issues. This paper presents analysis of three types of pedestrian speeds (entry speed, crossing speed, and exit ...
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
(
American Institute of Physics
, 2024 , Conference Paper)
In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ...
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 ...
Experimental detection of localized surface defects in ball bearings using vibration analysis
(
Canadian Acoustical Association
, 2019 , Conference Paper)
This study aimed at the monitoring of bearing health condition, based on vibration measurement. For that purpose, small circular defects were seeded on outer and inner rings of similar bearings, by using the principle of ...
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 ...
Active control of noise in ventilation ducts
(
Canadian Acoustical Association
, 2019 , Conference Paper)
Ventilation ducts are often lined with passive absorption material for both thermal insulation and noise and vibration reduction. However, the noise reduction performance is not significant at low frequencies. Active Noise ...