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2023 — Impact of race on police officer's use of force decision-makingAbstract
The current study investigated the potential impact of a subject of complaint’s (SOC’s) race on officer decision-making, in addition to the potential impact of several other factors (i.e., dispatch priming, policing experience, fatigue, and chronic stress). This is a serious gap in research of officer decision-making within a Canadian context, with little existing investigation. The study sample was comprised of 298 Royal Canadian Mounted Police (RCMP) employees; 149 recruits from Depot Division, and 149 active duty officers from Divisions across Canada. An intimate partner violence (IPV) vignette was presented in an online format in five stages (i.e., dispatch, arrival, three … Read more
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2014 — Prediction of Retail Prices Using Local CompetitorsAbstract
One of many applications of data mining is the prediction of retail prices. Often the price of a product at a store depends on the price of the same product at other stores. Our focus is to predict two types of prices, i.e., the start of the day price of the product at each store in a city and the real time (current) price of the product at each store in a city. We focus on predicting the product prices by identifying competitors of a store, for various notions of competitors. We also consider relevant information that could help us … Read more
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2022 — Mental and Physical Health of Adolescents During the Early Months of COVID-induced Restrictions: A Pilot StudyAbstract
COVID-induced restrictions may have detrimental effects on the mental and physical health of adolescents, a critical period of rapid growth in both these domains. The purpose of the present study was to assess mental (stress, social isolation) and physical (physical activity, sedentary and screen time, dietary and sleeping patterns) health of youth in grades 7-12 in the Regina and Greater Regina area during the early months (March – August 2020) of the COVID- 19 pandemic and associated restrictions, as well as perceptions of remote learning (March-June 2020) and return to in-person school in September 2020. The study used a cross-sectional … Read more
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2024 — FPGA implementation of Complex-valued Neural Network for Polar-represented image classificationAbstract
This thesis explores a novel approach to image classification by deploying a complex-valued neural network (CVNN) on a field-programmable gate array (FPGA), specifically for classifying 2D images transformed into polar form. The aim of this research is to address the limitations of existing neural network models in terms of energy and resource efficiency, by exploring the potential of FPGA-based hardware acceleration in conjunction with advanced neural network architectures like CVNNs. The methodological innovation of this research lies in the Cartesian to polar transformation of 2D images, effectively reducing the input data volume required for neural network processing. Subsequent efforts focused … Read more
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2023 — Late Paleocene-Early Eocene outer shelf depositional system of the Upper Indus Basin: The Patala Formation of the Hazara and Potwar Sub-basins, Northern PakistanAbstract
The Patala Formation is among a number of Paleogene sedimentary units deposited in the eastern part of the Neo-Tetheys Ocean. The basin was getting more restricted as the Indian Plate was rapidly converging toward the Euroasian Plate. The deposition of the Patala Formation occured in a ramp environment ranging from an inner to outer ramp setting. The study area, which is the Hazara sub-basin of the Upper Indus Basin, represents the distal portion (middle to outer ramp) of the late Paleocene to early Eocene deposits. The Patala Fm. represents a deepening event dominated by clastics sandwiched between shallow water carbonates … Read more
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2024 — Kiannet: An attention-based CNN-RNN model for violence detectionAbstract
Violent behaviour poses a significant risk to societal stability and public safety. As part of proactive strategies to counteract this threat, many organizations and institutions have implemented surveillance systems to monitor and identify potential violent instances. Nevertheless, manual review and analysis of vast surveillance footage can be a daunting and error-prone task for human operators, necessitating the advent of automated systems for efficient and precise violence detection. This study introduces a novel approach for violence detection composed of a CNNRNN structure based on an attention mechanism for binary and multi-class classification of abnormal behaviours. We called our proposed model KianNet … Read more
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2013 — Maximum Intersecting Families of PermutationsAbstract
In extremal set theory, the Erd}os-Ko-Rado (EKR) theorem gives an upper bound on the size of intersecting k-subsets of the set {1; : : : ;n}. Furthemore, it classi es the maximum-sized families of intersecting k-subsets. It has been shown that similar theorems can be proved for other mathematical objects with a suitable notion of \intersection". Let G B Sym(n) be a permutation group with its permutation action on the set {1; : : : ;n}. The intersection for the elements of G is de ned as follows: two permutations ; > G are intersecting if (i) = (i) for some … Read more
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2012 — Assessing the Performance of Aspen Plus and Promax for the Simulation of CO2 Capture PlantsAbstract
Carbon dioxide is a prominent greenhouse gas whose emissions have significantly increased due to human activities. Fossil fuel-fired power plants are the largest source of CO2 emissions, which results in a need for CO2 capture at these power plants. Prior to building a large scale CO2 capture plant, a pilot or demonstration plant is set up to confirm the feasibility of the plant. Simulation techniques are needed before actually constructing the plant, in order to improve the reliability and to increase productivity. A number of simulation software tools have been developed and are widely used to complete the simulation of … Read more
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2013 — A Classification of Homogeneous Kȁhler Manifolds with Discrete Isotropy and Top Non Vanishing Homology in Codimension TwoAbstract
Suppose G is a connected complex Lie group and is a discrete subgroup such that X := G= is K ahler and the codimension of the top non{vanishing homology group of X with coe cients in Z2 is less than or equal to two. We show that G is solvable and a nite covering of X is biholomorphic to a product C A, where C is a Cousin group and A is feg, C, C , or C C . Read more
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2023 — Self-training for cyberbully detection: Achieving high accuracy with a balanced multi-class datasetAbstract
Cyberbullying has become an alarming issue in the digital era, causing significant harm to its victims. The development of automated methods for detecting cyberbullying in social media is of paramount importance to safeguard vulnerable individuals. In this thesis, we propose a robust approach based on Machine Learning (ML) and Deep Learning (DL) techniques for cyberbully detection in social media platforms. Our approach involves the meticulous curation of a balanced dataset specifically designed for training the ML/ DL models. To overcome the challenge of limited labeled data, we employ a semi-supervised self-training algorithm, which effectively expands the size of the labeled … Read more
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2012 — Investigation of Interplay of Capillarity, Drainage Height, and Aqueous Phase Saturation on Mass Transfer Phenomena in Heavy Oil Recovery by Vapex ProcessAbstract
The vapor extraction (Vapex) process has emerged as a promising recovery technique in low-pressure and shallow heavy oil and bitumen reservoirs where conventional recovery processes are not technically, environmentally, or economically feasible. The Vapex process utilizes horizontal wells for injection of a vaporized hydrocarbon solvent (e.g., propane and butane) at pressures close to their dew point pressures into the reservoir, dissolution of solvent in the oil, and production of in-situ upgraded oil. The realistic approximation of diffusion and convective dispersion occurring on the edge of the vapor chamber is required for reliable prediction of production rates in this process. This … Read more
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2016 — Predictability of Carbon Dioxide and Ethane Solubility in Ionic Liquids: A Simulation ApproachAbstract
Capturing greenhouse gases using solvents is considered an efficient solution to address climate change and surging anthropogenic activity. In an attempt to find efficient solvents and avoid high experimental costs, predicting the solubilty of acid gases in different solvents is attracting attention. Ionic Liquids (ILs) are considered promising solvents for the sweetening of natural gas streams. These ionic liquids can also be used to capture CO2 from flue gases. This study examines the predictability of modeling the solubility of CO2 and C2H6 in ionic liquids based on some intrinsic properties such as critical temperature, critical pressure and acentric factor as … Read more
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2023 — Enhancing temperature control in greenhouses: A comparative anaylsis of TRNSYS simulation and real time dataAbstract
Accurately reproducing humidity and temperature information is highly important in a range of fields, such as architecture, energy conservation, environmental analysis and climate change research. Software tools like TRNSYS 18 have become invaluable in modeling and predicting conditions. These technologies provide cost efficient alternatives to practical experimentation. However, it remains crucial to verify simulation results by comparing them with real time measurements to ensure the reliability and authenticity of the software. This thesis presents a validation methodology for the TRNSYS model 18 program focusing specifically on assessing its capabilities in simulating humidity and temperature. The study aims to establish an … Read more
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2023 — Integration of electric vehicles into power systemsAbstract
The power system is continuously evolving and facing various challenges, such as increasing demand, and large-scale electric vehicle (EV) penetration. These challenges have a negative impact on the reliability and sustainability of the power system. For instance, EV charging represents an intensive electric load. Their penetration into the power system poses significant challenges to the operation and control of the power distribution system. Therefore, grid operators need to prepare for high-level EV penetration into the power system. On the other hand, EVs can be used as mobile energy storage systems for frequency regulation, which refers to vehicle-to-grid (V2G) applications. Since … Read more
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2020 — Development of Failure and Consequence Analysis Frameworks for Natural Gas Transmission PipelineAbstract
In our daily activities, natural gas is an essential part for cooking, heating, electricity production as well as manufacturing activities. In last two decades, the natural gas consumption rate has been increasing exponentially in every corner of the world. Subsequently, any natural gas pipeline failure can lead human fatalities, financial losses, and interruption of manufacturing activities as well as environmental impact. To overcome this situation or reduce the losses, a risk analysis method can play a very significant role the potential threats. The main objective of this research is to identify the natural gas pipeline failure causes, influences and consequences … Read more
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2020 — Conditional Preference Networks: Constraints, Genuine Decision, and AggregationAbstract
A Conditional Preference Network (CP-net) graphically represents user's conditional ceteris paribus (all else being equal) preference statements, while a Tradeoffs enhanced CP-net (TCP-net) extends the CP-net with conditional relative importance statements. To construct the CP-net, a user specifies a (strict) partial order over the values of each variable, which is usually a total order. In case the order is not a total order, a Partial CP-net is used to capture the preferences. On the other hand, a Lexicographic Preference Tree (LP-tree) represents user's conditional lexicographic preferences. This thesis contributes to the models listed above. First, solving the Constrained CP-net model, … Read more
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2013 — Graphical and semantic extensions of variable elimination in Bayesian Networks.Abstract
Variable Elimination (VE) is a central component of Bayesian network (BN) inference. Two drawbacks of VE are that it has no graphical depiction and that currently its intermediate distributions have no clear semantics. To address these drawbacks, we suggest two approaches, called Graphical VE (GVE) and Semantic VE (SVE). GVE graphically depicts the BN conditional probability tables (CPTs) as Graphical CPTs (GCPTs). The salient characteristic of GVE is that it explains the intricate mathematical equations and notations using graphs without resorting the numerical values and evaluates the inference technique using Merge and Remove graphical operations. GVE may be useful to … Read more
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2019 — Measuring the Abundance of Antibiotic Resistant Bacteria and Mobile Antibiotic Resistance Plasmids Within Human Impacted EnvironmentsAbstract
The spread of antibiotic resistance genes in the environment has become a worldwide concern in recent years. Horizontal gene transfer (HGT) is a process that can facilitate the spread of antibiotic resistance genes (ARGs) among bacterial communities. Often, ARGs are carried on mobile genetic elements (MGEs) such as plasmids which are able to transfer those genes among bacterial species via conjugation. Monitoring the transfer rate of ARGs using a defined recipient strain in conjugation experiments can provide further insight into environmental factors that can impact the abundance of mobile ARG plasmids, in managed environments. I used E. coli J53 and … Read more
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2017 — Distributed Architecture for Managing Big Data in Smart GridAbstract
Smart grid is a technological advancement to the traditional power system that provides efficient and reliable utilization of energy resources. Large number of sensors are becoming part of the power network to improve its efficiency. These sensors enable communication between home appliances and power generators to enhance home appliance automation, monitoring and remote control capabilities. As smart power grid incorporates a large number of data-generating embedded sensors; key questions are where in the network to process and analyze the data, and how to perform the analysis. The data in smart grid can be processed either by one central processor or … Read more
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2020 — Molecular Characterization of the Fate and Kinetics of Oil San Process-Affected Water (OSPW) Naphthenic Acid Fraction Compounds (NAFCs) in Constructed Wetland Treatment SystemAbstract
The mining of bitumen generates oil sands process-affected water (OSPW). The OSPW contains Naphthenic acid fraction compounds (NAFCs) among its organic acid constituents as the primary toxicant. Because of concerns of its environmental footprint, OSPW is held in tailing ponds under environmental regulation that holds oil sand operators to a zero discharge of OSPW. Management of OSPW requires that the treated water is returned to the aquatic environment as a means of enhancing the industry’s water sustainability. Methods are being considered for the analysis and treatment of OSPW to guarantee their safe return to the environment. In this study, the … Read more
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2019 — A Study of Antibiotic Resistance Plasmids in Fresh Produce and In Wastewater Environments Using Functional Approaches, Comparative Genomics and Abundance AnalysisAbstract
Studies have shown that a major reservoir of clinically relevant antibiotic resistance genes (ARGs) is found in non-pathogenic environmental bacteria. Ciprofloxacin, meropenem and erythromycin are important clinical antibiotics due to their broad applications in the treatment of Gram-positive and Gram-negative infections. The capacity to capture, mobilise and control the expression of resistance genes is an important factor in the development of multidrug resistance and the mobilome (the community of mobile genetic elements) is responsible for its genetic plasticity. Plasmids are important constituents of the environmental mobilome. The capacity to replicate independently of the bacterial chromosome coupled with the ability to … Read more
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2022 — Effectiveness of Saskatchewan Government Insurance 2014 Traffic Safety Initiatives on Reducing CasualtiesAbstract
Before 2014, Saskatchewan experienced a very high number of traffic collisions that resulted in higher deaths and injuries to drivers, passengers, and pedestrians. The year 2012 marked an especially tragic year with 183 people killed in traffic collisions in Saskatchewan, a significant increase compared to the previous three-year, considerable the prior three-year average of 158 could not normal typical as a result of the worsening state of road safety in Saskatchewan. A Special Committee on Traffic Safety was formed to enhance road safety by examining the dominant factors that cause traffic collisions in the province: impaired driving, distracted driving, excessive … Read more
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2016 — Kinetic Study of the Catalytic Desorption of Carbon Dioxide (CO2) from CO2-Loaded Monoethanolamine (MEA) and Blended Monoethanolamine-Methyldiethanolamine (MEA-MDEA) during Post Combustion CO2 Capture from Industrial Flue GasesAbstract
The objective of this research was to elucidate the kinetics of the catalyst-aided desorption of CO2 from CO2-loaded aqueous solutions of single monoethanolamine (MEA), and monoethanolamine blended with methyldiethanolamine (MEA-MDEA) during the post-combustion capture of CO2 from industrial flue gases. The experiments were performed over γ-Al2O3 and HZSM-5 catalysts in a complete absorber – desorber CO2 capture pilot plant unit with the absorber and desorber columns having an internal diameter of 2-inches (0.051 m) and a total height of 3.5 ft (1.067 m). The experimental kinetic data for CO2 desorption were obtained in the catalytic packed bed tubular desorber at … Read more
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2018 — Catalytic Hydrothermal Liquefaction of Camelina Sativa Residues for the Production of Biogasoline Range Liquid BiofuelAbstract
Camelina Sativa residue was used as a feedstock to investigate the production of biogasoline from the biomass material by catalyst-assisted hydrothermal liquefaction process. In the new process development, a non-catalytic experimental performance evaluation was conducted as a baseline process to compare and evaluate catalytic performance. Four commercially available catalysts otherwise called precursors were initially tested to set the stage for the performance evaluation of the in-house developed catalysts. The commercial catalysts used were HZSM-5, SiO2-Al2O3, SBA-15 and γ-Al2O3. The performance activities of the commercial catalysts show no sign of improved biomass conversion compared to non-catalytic process, which has a maximum … Read more
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2018 — Fiber-Wireless Sensor Networks for Monitoring Distributed Generation in a Smart Grid EnvironmentAbstract
Smart grid applications like teleprotection, synchrophasors and remote condition monitoring and control of assets require timely and reliable data transmission from the widely distributed assets to the Data Control Centers (DCCs). Many communication architectures and solutions have been proposed to provide support for these smart grid applications, such as fiber networks, microwave links, Wireless Sensor Networks (WSNs), etc. The use of heterogeneous solutions can be an attractive architecture option because they combine the advantages of two or more communication systems to provide the needed delay and reliability requirements. Fiber-Wireless Sensor Networks (Fi-WSNs) are gaining popularity as a communication infrastructure in … Read more
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2013 — Experimental and Numerical Studies of Three-Phase Relative Permeability Isoperms for Heavy Oil SystemsAbstract
There is a great deal of interest in obtaining reliable three-phase relative permeability data given recent developments in enhanced heavy oil recovery processes associated with multiphase flow in porous media. Experimental measurement of threephase relative permeability data for heavy oil systems is prohibitively difficult. Such data and research is scarce in the literature since the implementation of steady state experiment is onerous and time consuming. Still results from unsteady state technique do not really coincide with those from steady state experiments. Empirical correlations, such as Stone’s models, which are widely used in modern commercial simulators, carry along uncertainties with two-phase … Read more
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2018 — Water Management During Spring-Summer in ReginaAbstract
The main purpose of this research was to conduct water management during spring-summer in Regina, Saskatchewan, Canada. Results show that Regina is classified Dfb, there is seasonal variation in climate of this city. The total annual precipitation is 386 mm, which accounts for 77% from April to September. Over the studied time period of 45 years from 1970 to 2015 multiple climatic parameters are noted to have increase in their value e.g., precipitation increased by about 50 mm precipitation, temperature increased by 1.1oC and relative humidity by 6%. Wind speed has decreased by about -1.35 km/hr, whereas solar radiations have … Read more
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2023 — Measurement and modelling of carbon dioxide and ethane solubility in triflate-based ionic liquids: Imidazolium, pyridinium, and pyrrolidiniumAbstract
Carbon dioxide emission is the major greenhouse gas causing global warming. Capturing and reducing the emitted CO2 and other greenhouse gases is one of the most pressing issues in the world today. This study aimed at screening promising ionic liquids for their capacity to absorb CO2 without ethane co-absorption for natural gas sweetening operations. Therefore, the solubility of CO2 and C2H6 in three ionic liquids with the same anion but different cations was measured. 1-Butyl-3- methylimidazolium triflate [BMIM][TfO], 1-Butyl-1-methylpyrrolidinium triflate [BMP][TfO], 1-Butyl-4-methylpyridium triflate [MBPY][TfO] were selected based on the results obtained from a molecular computational study. The solubility was measured … Read more
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2019 — Assessing the Effectiveness of Results-Based Reulations in Fostering Innovation and Social Learning: A Focus on the Saskatchewan Ministry of EnvironmentAbstract
Results-Based Regulation (RBR) is a hybrid regulation that incorporates some features of a prescriptive regulation, outcome-based regulation, and co-regulation. Traditionally, the environmental activities in Saskatchewan were administered through prescriptive regulation. In 2015, RBR was introduced to substitute the prescriptive regulation. When RBR was introduced, some notable changes were made, and some expected outcomes were stipulated. The core changes that shaped this thesis include the introduction of ‘alternative solutions’ when complying with the regulation, reliance on qualified persons (QP) to certify alternative solutions, and a focus on results. The emphasis on results and the provision of alternative solutions were expected to … Read more
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2024 — Saturated-unsaturated behavior of natural cohesionless soilsAbstract
Cohesionless soils exist across the globe, under various geological settings and climatic regimes, in two distinct natural states. Disintegrated sediments, where soil particles are loosely held together through particle interlocking such as freshly deposited sediments, and intact deposits, in which soil particles are primarily held together through interparticle suction bonding. The geotechnical behavior of such soils is governed by field conditions of applied stress and atmospheric conditions. This research focused on developing a clear understanding of the saturated-unsaturated behavior of cohesionless soils by mimicking the two natural soil states for laboratory investigations (flow-through, volume change, and shear strength) and by … Read more
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2020 — Functional genomics provides insights into the genetic network(s) associated with the function of the cmd operon in Rhizobium leguminosarum bv. viciaeAbstract
The bacterium Rhizobium leguminosarum forms a symbiotic association with leguminous plants such as peas and lentils, which are important food crops. Rhizobium’s cell envelope is important for establishing a symbiotic association with host plants and for helping the cell adapt to stressful conditions in the rhizosphere. A previously uncharacterized four gene operon, cmdA-D (RL3499-RL3502) in Rhizobium leguminosarum viciae 3841 has been shown to be essential for proper cell envelope function. The broadly conserved cmd operon codes for ATPases which mediate protein-protein interaction and are involved in various cellular activities. cmd mutants cannot grow on complex peptide rich media, therefore the … Read more
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2021 — One-Visibility Cops and Robber on TreesAbstract
Graph searching comes into the limelight of research topics since it provides mathematical models for many real-world problems. Cops and robber is one aspect of graph searching that has recently gained much interest. This thesis provides results on a graph searching model, one-visibility cops and robber model. The one-visibility cops and robber game is a variation of the zero-visibility cops and robber game, where one-visibility means that the robber is seen by a cop when the distance between them is at most one. Suppose that a robber is hiding on vertices of a graph. The focus of this thesis is … Read more
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2020 — Defective Spore Development and Differentially Expressed Genes In The Sporophytes of mkn4-2-1, A Triple Deletion Mutant of Physcomitrella patensAbstract
KNOTTED1-like homeobox (KNOX) genes encode homeodomain transcription factors involved in maintaining the shoot apical meristem of flowering plants. They are widely distributed in land plants where they perform diverse roles. A triple knockout of KNOX genes, mkn4-2-1, in the moss, Physcomitrella patens, produced malformed sporophytes and defective spores with under-developed perine (Singer and Ashton, 2007, Plant Cell Rep, 26: 2039). I hypothesized that moss KNOX homologues (MKN genes) could be the executive regulators of spore wall formation in Physcomitrella, and that the biosynthesis and regulatory networks of spore/pollen grain wall formation might be conserved in plants. The mkn4-2-1 spores shed … Read more
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2025 — Analyse stylistique du métissage dans Le Ventre de l’AtlantiqueAbstract
Fatou Diome, née au Sénégal, a quitté son pays natal pour aller en France. Cette période a été difficile pour elle, mais elle en a tiré l'inspiration pour Le Ventre de l'Atlantique, roman à caractère autobiographique paru en 2003. Elle y confronte les rêves d'émigration des jeunes Sénégalais, qui voient la France comme un paradis, à la dure réalité de l’exploitation des immigrants africains. Tout au long de son oeuvre, Fatou Diome navigue entre les mondes européens et africains et il en résulte de nombreux procédés de métissage culturel. Cette étude se concentre sur l’analyse du métissage culturel dans Le … Read more
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2024 — Detection and monitoring of ransomware attacks using machine learning and Deep LearningAbstract
This thesis presents a comprehensive investigation into the threat of ransomware and explores recent advancements in detection techniques. With the rise in the popularity of ransomware, a unique ecosystem of cybercriminals has emerged, leveraging encryption technology, anonymous cybersecurity, and easily accessible ransomware code. To address this growing concern, this thesis emphasizes the need for a machine learning (ML) and Deep Learning (DL) solution to detect ransomware attacks. Additionally, the study introduces the utilization of Software Defined Networking (SDN) combined with ML and DL for enhanced ransomware detection and mitigation. In our pursuit of demonstrating ransomware detection capabilities, we introduce an … Read more
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2019 — Studying The Impacts of Occupancy Rate on Length of Stay and Outcomes At The Emergency Department At The Regina General HospitalAbstract
The emergency department at Regina General Hospital typically experiences high occupancy rates. This has serious implications. The following thesis addresses the impact of high occupancy rates on length of stay, the odds ratio of bounce-back, mortality, and leaving without being seen. Quantile regression is used to analyze the association between occupancy rate and length of stay at the emergency department. It is also utilized to capture the effect of occupancy rate and length of stay during index visit, and return visit. In addition, Wilcoxon rank sum test is used to compare the median value of length of stay in return … Read more
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2020 — Compact Homogeneous Leviflat CR-ManifoldsAbstract
We consider compact Leviflat homogeneous CR-manifolds. In this setting the Levi-foliation exists and we show that all its leaves are homogeneous and biholomorphic. We analyze separately the structure of orbits in complex projective spaces and parallelizable homogeneous CR-manifolds in our context. We then combine the projective and parallelizable cases using the fact that every homogeneous CR-manifold is a homogeneous CR-fiber bundle, the so-called CR-normalizer fibration, consisting of a projective base and a parallelizable fiber. In codimensions one and two we also give a classification. Read more
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2014 — Integrating Ontology-Based Information Extraction Systems and Spatial Modeling for Land Use Analysis and SimulationAbstract
Information Extraction (IE) is defined as the automatic identification and extraction of a predefined set of concepts, relevant to a specific domain of knowledge, ignoring irrelevant information. IE converts unstructured text into structured data and extracts the required information. IE is to some extent domain-specific. In IE, the information to be extracted must be specified a priori. In the context of IE, the ontology is used to structure and represent the domain knowledge. The IE system extracts information with respect to the domain ontology and then populates the ontology with the extracted information. This process is referred to as Ontology-Based … Read more