Liste complète
La lecture de ces thèses nécessite une redirection vers le site du dépôt institutionnel.
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2017 — Optimum Cyclic Solvent Injection (CSI) and Waterflooding/Gasflooding in the Post Cold Heavy Oil Production with Sand (Chops) ReservoirsRésumé
In this thesis, the technical synergy of combining cyclic solvent injection (CSI) and waterflooding (WF) or gasflooding (GF) in a two-well configuration for the post-cold heavy oil production with sand (CHOPS) reservoirs was explored. In the experiments, the original heavy oil samples were collected from the Colony and McLaren formations in Alberta, Canada. The PVT data and viscosities of CH4/CO2/C3H8-saturated Colony/McLaren heavy oil were measured at different equilibrium pressures and Tres = 21 °C. A total of 17 sandpacked laboratory tests were conducted to examine the technical and economical merits of the combined CSI and WF/GF. Both the CSI + … Lire la suite
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2019 — Dynamics of River-Sediment Delivery and Turbidity Current Flow Observed in Lillooet Lake, British ColumbiaRésumé
A study linking sediment-discharge dynamics and lake-bottom properties to plunging river flow was undertaken at Lillooet Lake, British Columbia. This study was initiated to understand the dynamics of turbidity currents that plunge off the front of the Lillooet-Green River delta and how those factors have an influence on turbidity current development. Understanding how turbidity currents behave is important to understanding the sedimentary budget and hydrology of lakes and reservoirs. To achieve the objectives of understanding how sediment-discharge dynamics and lake-bottom properties influence the development of turbidity currents in Lillooet Lake, field monitoring was undertaken for 10 days in July 2015. … Lire la suite
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2024 — Victim blaming in the courtroom: The influence of lawyer gender and style on juror decision-makingRésumé
Despite the present Canadian laws meant to protect victims of sexual assault during the trial process, it is common for defence lawyers to employ stereotypes against the victim (a process known as “whacking”; Tanovich, 2015). It is unclear whether the gender of the defence lawyer is a determining factor in the influence of such stereotypes. Only a limited number of studies have examined the effects of lawyer gender, which yielded conflicting findings (Levi et al., 2022; Villemur & Hyde, 1983). Moreover, the previous studies did not explore whether the lawyers’ cross-examination style or the juror’s level of sexism factor into … Lire la suite
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2016 — Knowledge Management Using SpiCERésumé
The idea of Knowledge Management (KM) is continually evolving. A traditional and popular idea of KM is one that emphasizes the activity of transforming data to in- formation, and information to knowledge. Another popular idea of KM emphasizes the building of capabilities through learning; how KM can help people learn individ- ually and collaboratively toward an individual or shared outcome. This dissertation presents an integrative framework for KM that builds on these ideas. The framework that is introduced is called SpiCE, an acronym for spime wrangling, culture of par- ticipation, and ethical decision making. SpiCE uses the idea of spime … Lire la suite
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2019 — A Pain Self-Management Program for Older Adults: Online vs. Workbook DeliveryRésumé
The treatment for chronic pain continues to be a challenge, for clinicians and those suffering, because the complete exclusion of pain is seldom attainable for any considerable period of time. If treated ineffectively, the emotional consequences of pain, including psychological comorbidities, can increase considerably. It is well documented that severe pain is more common in older adults than it is younger persons. Of concern, older adults may not have access to traditional face-to-face self-management programs, which are recognized to be valuable in chronic pain management. Access to effective self-management approaches is particularly challenging for older adults who have mobility limitations … Lire la suite
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2018 — A Geological and Geochemical Assessment of the Lower Mississippian Souris Valley Beds of the Lodgepole Formation in South-East SaskatchewanRésumé
The Viceroy Unit, an organic matter-rich mudrock within the Souris Valley Beds in south-east Saskatchewan, displays a number of sedimentological features including rip-up clasts, flocculated clay clasts, beds bound by scoured surfaces, down-lapping ripples, truncated beds, and normal graded silt and clay laminaesets. Through the implementation of modified mudrock nomenclature guidelines and current mudrock concepts the distinct texture, mineralogical composition, organic matter content and bedding fabric of the Viceroy Unit can be related to an ‘event’ dependent mode of deposition. ‘Event sedimentation’ invokes a depositional environment with periods of both high and low energy, and the occurrence of intermittent storm-driven … Lire la suite
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2019 — Victimology and Trauma Studies: Bridging Perspectives in a Landscape of PracticeRésumé
Victimology as a field of study remains largely undeveloped at Canadian degreegranting institutions. In 2019 there are no degree programs leading to major or minor concentrations in the academic study of victimology in Canada. There was one certificate program offered at the Université de Montréal where the language of instruction is French. The disciplinary maturity of victimology is likely to rely on a willingness on the part of stakeholders within a landscape of practice to work collaboratively and discriminately on program development, so that the pressing needs for education are met. Participants in the study, Victimology and Trauma Studies – … Lire la suite
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2022 — The lived experience of parental stress of fathers of a child with Autism Spectrum DisorderRésumé
The purpose of this study was to expand the current understanding of father parental stress through an interpretive phenomenological analysis of fathers of children with Autism Spectrum Disorder’s lived experience. Parents of children with Autism Spectrum Disorder have been found to experience higher levels of stress than both parents of typically developing children and all other special needs children that have been researched to date. The experience of parental stress for parents of children with Autism Spectrum Disorder has primarily looked at the experience of mothers, with limited studies exploring the experiences of fathers. The current study interviewed six fathers … Lire la suite
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2017 — Nutritional and Fall Risk Among Older Women Living in Long-Term Care Facilities of IndiaRésumé
The objectives of the study were to assess the nature of nutritional and fall risk in older adults living in LTC facilities in New Delhi, evaluate the inter-relationship of nutritional and fall risk, and assess whether depression, fear of falling, and physical function predict fall risk, and to test the reliability of nutrition and fall risk measures. Eighty five women aged 60 years and over living in six LTC facilities in New Delhi were recruited. Measures included the Mini Nutritional Assessment (MNA), Falls Efficacy Scale International (FES-I), Downton Index, SF-36 Health Survey, Geriatric Depression Scale (GDS), Mini Mental State Exam … Lire la suite
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2021 — Bismuth Tungstate Photocatalysis for N-Nitrosamines Removal from Amine Washing WastewaterRésumé
The most practical way of reducing industrial carbon dioxide (CO2) emissions, which is the main contributor to global warming, is post-combustion CO2 capture using amine solvents. A large variety of degradation products are generated during the CO2 capture process. This is mostly due to amines reacting irreversibly with CO2, and other oxygenated compounds in the flue gas. Amine degradation products poses threat to human health and marine life. Amine degradation products like N-nitrosamines are carcinogenic and mutagenic. The formation of carcinogenic and mutagenic N-nitrosamines can obstruct the technology's industrial application. To reduce the impact on human health and marine life, … Lire la suite
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2018 — The Saturn and Sphinx Moths of the Upper MidwestRésumé
The Saturn and Sphinx Moths of the Upper Midwest is a collection of original Metaphysical lyric poems. While its subjects and themes are various, the collection reflects the continuing relevance of the techniques and characteristics most readily associated with the seventeenth-century Metaphysical poets, but which in truth can be found throughout the history of lyric poetry to the present day. The poems in The Saturn and Sphinx Moths, with a few variations, follow a trajectory from poems rooted in memory and experience to poems engaged with the ineffable and the spiritual. Lire la suite
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2013 — L’amalgamation lexicale dans un corpus specializé: Analyse morphologiqueRésumé
Word formation phenomenon in French is constantly evolving. There are debates, research and conferences that focus on the description and clarification of the mechanisms employed in the creation of new lexical units. As a result of technical advancements, social, economic and political changes, new lexical forms are created to express new concepts and ideas. Hence, language being a social phenomenon remains dynamic. Terminology as a branch of study that specializes, among others, in the development of Language for Special Purposes (LSP) employs different mechanisms in the formation of terms used in a specific technical domain of knowledge. It is therefore … Lire la suite
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2024 — Machine Learning on simulated forward calorimeter upgrade for JEFRésumé
This thesis centers around using Machine Learning to distinguish true photons from hadronic split-offs detected by the JEF and GlueX experiments. The FCAL is an electromagnetic detector undergoing an upgrade to its inner region for improving neutral particle identification for the JEF project. Search for exotic η and η′ decays are the focal point JEF experiment as they test the limits of the current Standard Model and provide unique opportunities to search for Dark Matter candidates. The aim of this project is to develop of a shower classification scheme that can confidently separate between true photons and split-offs showers in … Lire la suite
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2023 — Effects of a global pandemic on the collection and disposal of municipal solid wasteRésumé
The COVID-19 pandemic and the subsequent lockdowns had significant effects on solid waste management, which has received greater research focus during this time due to the infectious nature of the SARS-CoV-2 virus. As such, in the first part of the study, SARIMA models were developed to predict residential waste collection rates (RWCR) across four North American jurisdictions before and during the pandemic. Unlike waste disposal rates, RWCR is relatively less sensitive to the changes in COVID-19 regulatory policies and administrative measures, making RWCR more appropriate for crossjurisdictional comparisons. It is hypothesized that the use of RWCR in forecasting models will … Lire la suite
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2020 — A Novel Adaptive Power System Protection Application Using Synchrophasor Measurements and Artificial Neural NetworksRésumé
The demand on the power grid is constantly increasing. Combining this with the growing amount of renewable energy and widespread integration of distributed generation creates many challenges. These challenges push the power grid closer to its limits and can result in system instability. This makes the system more vulnerable to large scale events caused by voltage collapse and cascading outages. Several major power outages in recent history have been a result of multiple contingencies occurring within a small timespan. This research focuses on determining contingencies such as transmission line and transformer outages using an artificial neural network (ANN) algorithm with … Lire la suite
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2014 — Pursuit Evasion in Simple PolygonsRésumé
Pursuit evasion in simple polygons is fundamentally searching for an evader in a simple polygon. Popular problems in polygon searching include the room search problem and the two guard problem. Many practical applications, such as search for an evader in a dark house, rescue of a victim in a dangerous building and surveillance with autonomous mobile robots, can be modeled by polygon search problems. In this thesis, we investigate two problems related to polygon searching. The rst problem which we study is searching for a mobile evader in a simple polygonal room with two doors by a boundary 2-searcher. The … Lire la suite
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2016 — Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV CamerasRésumé
Control of unmanned aerial vehicles is a very active topic in research with lots of applications ranging from civilian to military. To control a UAV, its attitude is often controlled using gyroscopes, but to control its position, inertial sensors together with GPS are often used. However, obtaining accurate current position is difficult using inertial sensors because of the integration drift. GPS on the other hand is not functional in indoor applications since it cannot connect to GPS satellites. Since vision has been proved to be an inexpensive and consistent source of relative position information, vision-based control is getting more popular … Lire la suite
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2014 — Long-term Neuropsychological and Psychosocial Consequences of Pediatric Mild Traumatic Brain InjuryRésumé
Traumatic brain injury (TBI) is a major health problem affecting thousands of Canadians and their families each year. Little is known about the long-term consequences of pediatric mild traumatic brain injury (MTBI) on psychological functioning in adulthood. There are two major perspectives on this topic. The Kennard Principle asserts that young brains are more plastic and thus better suited to compensate following injury. The Early Vulnerability Hypothesis challenges this assertion with the idea that early damage to the brain may have significant implications for emerging cognitive and social skills. Executive function and social competence are skills that may be especially … Lire la suite
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2024 — Suspending echoesRésumé
This critical engagement paper outlines the conceptual and technical details and theoretical support for my Master of Fine Arts exhibition project titled Suspending Echoes, presented at the Fifth Parallel Gallery from August 1 to August 15, 2024. Suspending Echoes is an interactive and immersive installation through which I attempt to represent my perception of self as a fluid entity, continuously shaped and influenced by currents, created by interactions with my surrounding environment and people. The installation creates a dynamic environment where the audience's presence and movements contribute to their overall experience. I aim to evoke empathy and self-reflection through this … Lire la suite
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2022 — The cyclotomic eigenvalue and character value problems for association schemesRésumé
The central focus of this dissertation is an answer to the cyclotomic eigenvalue question (CEQ) for commutative association schemes. This question, which was posed by Simon Norton at Oberwolfach in 1980, asks whether all entries of the character table of a commutative association scheme lie in a cyclotomic extension of the rational numbers. In this thesis, we consider the cyclotomic eigenvalue question for objects that generalize the notion of association schemes. The objects in question are standard integral table algebras with integral multiplicities (SITAwIMs). Our main results show the eigenvalues of SITAwIMs of rank 4 and nonsymmetric ones of rank … Lire la suite
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2023 — Part-aware vehicle re-identification using harder negative aware triplet loss and attention embedded learnable resizerRésumé
Vehicle re-identification is identifying and position referencing a vehicle of interest through images or video streams collected using a network of camera stations. This task is crucial in intelligent transportation systems and smart city development. However, vehicle re-identification poses a difficult problem due to various challenges, including intra-class variations, inter-class similarities, and near duplicate pairs. These challenges lead to a considerable false-positive rate in retrieved candidates. This research aims to design and develop a robust deep-learning-based vehicle re-identification system to address these challenges. Effective training of deep learning models requires image down-scaling in preprocessing step, which can lead to a … Lire la suite
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2014 — Retail Price Time Series ImputationRésumé
A regular, discrete time series is an ordered sequence of coarse-grained observations taken at fixed time intervals. Here we consider regular, discrete, retail price time series datasets acquired through crowdsourcing. Crowdsourcing is a means of data collection whereby independent individuals push publicly-available information to an information consolidator who then distributes it back to the individuals for their collective mutual benefit. Crowdsourced datasets are typically incomplete due to missing observations and missing values for important attributes. In this thesis, we consider the problem of filling in missing values in crowdsourced, regular, discrete, retail price time series datasets using data imputation methods. … Lire la suite
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2020 — Improving the Solution of an Incomplete Problem in Computed TomographyRésumé
Computed Tomography (CT) is an imaging method that uses radiation, such as Xrays, to scan an object from di erent orientations to provide projection-measurements to reconstruct a pixelated image of the interior of the object using mathematical algorithms. To successfully recover an unambiguous image of the scanned object, the number of measurements should be equal or higher than the number of the pixels (unknowns). This requires relatively long data acquisition time and high radiation exposure. To reduce radiation exposure, particularly in medical applications, this thesis investigates whether credible CT images can be recovered from a lower number of radiation projections; … Lire la suite
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2025 — Learning hypertrees with shortest path queriesRésumé
One branch of computational learning theory focuses on algorithms for learning discrete structured objects from queries. In this context, we consider the problem of learning a labeled hypergraph from a given family of hypergraphs using shortest path (SP) queries. An SP query specifies two vertices and asks for their distance in the target hypergraph. For various classes H of hypertrees, we present bounds on the number of queries required to learn an unknown hypertree from H. Matching upper and lower asymptotic bounds are presented for learning hyperpaths and hyperstars. Moreover, inspired by Hein’s algorithm for learning evolutionary trees with bounded … Lire la suite