Browsing Systems Design Engineering by Title
Now showing items 562-581 of 705
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Real-Time Optimal Control of a Plug-in Hybrid Electric Vehicle Using Trip Information
(University of Waterloo, 2016-02-04)The plug-in hybrid electric vehicle (PHEV) is a promising option for future sustainable transportation. It offers better fuel economy and lower emissions than conventional vehicles. This thesis has developed a novel ... -
Real-time Optimal Energy Management System for Plug-in Hybrid Electric Vehicles
(University of Waterloo, 2014-09-24)Air pollution and rising fuel costs are becoming increasingly important concerns for the transportation industry. Hybrid electric vehicles (HEVs) are seen as a solution to these problems as they off er lower emissions and ... -
Real-time predictive control strategy for a plug-in hybrid electric powertrain
(Elsevier, 2015-08-01)Model predictive control is a promising approach to exploit the potentials of modern concepts and to fulfill the automotive requirements. Since, it is able to handle constrained multi-input multi-output optimal control ... -
Recognizing Magnification Levels in Microscopic Snapshots using Machine Learning
(University of Waterloo, 2020-09-25)State-of-of-the-art computer vision research has facilitated technology evolution in the field of medical imaging. The primary achievement of the imaging algorithms developed is the extraction of expressive features from ... -
Reconstruction of 3D Points From Uncalibrated Underwater Video
(University of Waterloo, 2011-09-02)This thesis presents a 3D reconstruction software pipeline that is capable of generating point cloud data from uncalibrated underwater video. This research project was undertaken as a partnership with 2G Robotics, and ... -
Recursive Estimation of Structure and Motion from Monocular Images
(University of Waterloo, 2010-10-22)The determination of the 3D motion of a camera and the 3D structure of the scene in which the camera is moving, known as the Structure from Motion (SFM) problem, is a central problem in computer vision. Specifically, the ... -
Reduction of a Vehicle Multibody Dynamic Model Using Homotopy Optimization
(De Gruyter, 2013-03-27)Despite the ever-increasing computational power of modern processors, the reduction of complex multibody dynamic models remains an important topic of investigation, particularly for design optimization, sensitivity analysis, ... -
Regularizing Deep Models for Visual Recognition
(University of Waterloo, 2016-10-26)Image understanding is a shared goal in all computer vision problems. This objective includes decomposing the image into a set of primitive components through which one can perform region segmentation, region labeling, ... -
Reinforced Segmentation of Images Containing One Object of Interest
(University of Waterloo, 2007-11-09)In many image-processing applications, one object of interest must be segmented. The techniques used for segmentation vary depending on the particular situation and the specifications of the problem at hand. In methods ... -
Reinforcement Learning for Parameter Control of Image-Based Applications
(University of Waterloo, 2004)The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. ... -
Relationship between vessel diameter and depth measurements within the limbus using ultra-high resolution optical coherence tomography
(Elsevier, 2018-01-01)Purpose To establish a relationship between the diameter and depth position of vessels in the superior and inferior corneo-scleral limbus using ultra-high resolution optical coherence tomography (UHR-OCT). Methods Volumetric ... -
Relationships Between Motor Unit Anatomical Characteristics and Motor Unit Potential Statistics in Healthy Muscles
(University of Waterloo, 2005)The main goal of this thesis was to discover the relationships between MU characteristics and MUP features. To reach this goal, several features explaining the anatomical structure of the muscle were introduced. ... -
Representational Redundancy Reduction Strategies for Efficient Neural Network Architectures for Visual and Language Tasks
(University of Waterloo, 2023-08-14)Deep neural networks have transformed a wide variety of domains including natural language processing, image and video processing, and robotics. However, the computational cost of training and inference with these models ... -
Researching Human-AI Collaboration through the Design of Language-Based Query Assistance
(University of Waterloo, 2020-09-03)Interactions with artificial intelligence (AI) are uniquely difficult to design because of the complexity of its output and the uncertainty of its capabilities for designers. Additionally, AI can be error-prone and needs ... -
Resolution-enhanced Digital Epiluminescence Microscopy Using Deep Computational Optics
(University of Waterloo, 2021-03-17)Melanoma is the most common type of cancer, and the standard practice used for examining skin lesions is dermoscopy, where dermatologists use an epiluminescence microscope (ELM) to visualize the skin's surface and subsurface ... -
Resonant Drive Techniques for MEMS: A Comparative Study
(University of Waterloo, 2023-06-12)Electrostatic actuation is popular in microelectromechanical systems (MEMS) because of its many advantages. However, it requires high voltage, typically provided by a power supply and a high voltage amplifier, which is ... -
Resonant MEMS Deformable Mirror
(University of Waterloo, 2022-01-21)The performance of optical systems is often affected by aberrations that degrade the image resolution and contrast. These aberrations may be induced from atmospheric turbulence, imperfection in the optical alignment, or ... -
RGB-D Scene Flow via Grouping Rigid Motions
(University of Waterloo, 2016-09-06)Robotics and artificial intelligence have seen drastic advancements in technology and algorithms over the last decade. Computer vision algorithms play a crucial role in enabling robots and machines to understand their ... -
River Ice Segmentation under a Limited Compute and Annotation Budget
(University of Waterloo, 2022-05-05)River ice segmentation, used to differentiate ice and water, can give valuable information regarding ice cover and ice distribution. These are important factors when evaluating flooding risks caused by ice jams that may ... -
Robotic Grasping using Demonstration and Deep Learning
(University of Waterloo, 2019-09-11)Robotic grasping is a challenging task that has been approached in a variety of ways. Historically grasping has been approached as a control problem. If the forces between the robotic gripper and the object can be calculated ...