Browsing Mechanical and Mechatronics Engineering by Subject "machine learning"
Now showing items 1-17 of 17
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Adapting Regenerative Braking Strength to Driver Preference
(University of Waterloo, 2023-12-13)The modern automotive industry has witnessed a growing emphasis on adapting the driving experience to individual drivers. With the rising popularity of electrified vehicles, the implementation of regenerative braking ... -
A Data-Driven Approach for Generating Vortex Shedding Regime Maps for an Oscillating Cylinder
(University of Waterloo, 2022-01-20)Recent developments in wind energy extraction methods from vortex-induced vibration (VIV) have fueled the research into vortex shedding behaviour. The vortex shedding map is vital for the consistent use of normalized ... -
Development of a Scalable Machining Feature Recognition System
(University of Waterloo, 2023-12-19)In this thesis, various pre-processing and training techniques were applied to improve the performance of a model trained with an existing machining feature recognition approach by Yeo et al. using a smaller dataset that ... -
Efficient Multi-Objective Optimization of an Automotive Crush Rail Under Axial and Oblique Impact
(University of Waterloo, 2021-04-30)Oblique impact conditions are of increasing research importance, and this kind of study is becoming more common in the crashworthiness literature. Optimization strategies, such as the Response Surface Methodology (RSM), ... -
Fingerprint-based indoor positioning and intensity classification using an improved machine learning framework
(University of Waterloo, 2021-10-21)Covid-19 has changed the world in terms of business, public, and many other fields. Millions of livelihoods have been affected by the pandemic. Amidst the upheaval, work from home and restrictions on indoor gatherings have ... -
An Intelligent System for Induction Motor Health Condition Monitoring
(University of Waterloo, 2015-04-08)Induction motors (IMs) are commonly used in both industrial applications and household appliances. An IM online condition monitoring system is very useful to identify the IM fault at its initial stage, in order to prevent ... -
Leveraging Atmospheric-Pressure Spatial Atomic Layer Deposition and Machine Learning for Nanomaterial and Device Design
(University of Waterloo, 2023-07-27)The deposition and design of nanometre-scale oxide films is an integral component of the ongoing nanomaterial revolution, from cell phones, to batteries, to photovoltaics. Atmospheric-pressure spatial atomic layer deposition ... -
Machine Learning Approaches in Crystal Plasticity
(University of Waterloo, 2022-04-27)The continued advancements in material development and design require understanding the relationships between microstructure and flow behaviour. Crystal plasticity (CP) is a high-fidelity computational method that helps ... -
Multiple Tools for Automated Nanofiber Characterization by Image Processing
(University of Waterloo, 2022-05-10)Nanofibers have been widely used in many engineering applications, including air filtration, energy storage, and biomedical engineering. Their performances largely depend on the morphology of nanofibers. The key morphological ... -
Real-Time Monitoring of Thermal Processes
(University of Waterloo, 2023-09-27)In this research, a monitoring system for thermal processes was developed which measures the most critical process phenomena, such as thermal dynamics (peak temperature, heating rate, and cooling rate) and geometric features, ... -
Recovering Optimal Cost Functions for Natural Walking: From Musculoskeletal Simulation to Exoskeleton Control
(University of Waterloo, 2022-05-03)Human movement studies have contributed to our understanding of how the central nervous system's (CNS) interactions with our body results in rich and complex motor behaviours, such as human gait. Such understanding is ... -
Reinforcement Learning of Dynamic Collaborative Driving
(University of Waterloo, 2008-05-21)Dynamic Collaborative Driving is the concept of decentralized multi-vehicle automated driving where vehicles form dynamic local area networks within which information is shared to build a dynamic data representation of the ... -
Riemann solvers with non-ideal thermodynamics: exact, approximate, and machine learning solutions
(University of Waterloo, 2022-09-22)The Riemann problem is an important topic in the numerical simulation of compressible flows, aiding the design and verification of numerical codes. A limitation of many of the existing studies is the perfect gas assumption. ... -
Robotic Reach, Grasp, and Pick-and-Place using Combined Reinforcement Learning and Traditional Controls
(University of Waterloo, 2022-09-01)Electrically actuated robotic arms have been implemented to complete tasks which are repetitive, strenuous, and/or dangerous since they were first developed in the 1970s. More than 50 years have passed since initial ... -
Short-Term Traffic Participants Behaviour Prediction for Automated Vehicles
(University of Waterloo, 2020-12-17)Due to the rapid commencement of autonomous vehicles and the promising potential benefits, it has made it critical for said vehicles to be able to interpret their environment and compensate for the absence of driver ... -
SIVO: Semantically Informed Visual Odometry and Mapping
(University of Waterloo, 2018-11-12)Accurate localization is a requirement for any autonomous mobile robot. In recent years, cameras have proven to be a reliable, cheap, and effective sensor to achieve this goal. Visual simultaneous localization and mapping ... -
Static and Dynamic Affordance Learning in Vision-based Direct Perception for Autonomous Driving
(University of Waterloo, 2020-01-22)The recent development in autonomous driving involves high-level computer vision and detailed road scene understanding. Today, most autonomous vehicles are using the mediated perception approach for path planning ...