Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The spectrum of a given time series is a characteristic function describing its frequency properties. Spectrum estimation methods require time series data to be contiguous in order for robust estimators to retain their performance. This poses a fundamental challenge, especially when considering real-world scientific data that is often plagued by missing values, and/or irregularly… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Little is actually known about how people cognitively process and integrate information when solving complex mathematical problems. In this thesis, eye-tracking was used to examine how people read and integrate information from mathematical symbols and complex formula, with eye fixations being used as a measure of their current focus of attention. Each participant in the studies was… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>This thesis presents an exploration of the requirements for and development of a software tool to calculate Certified Emission Reduction (CERs) credits for afforestation and reforestation projects conducted under the Clean Development Mechanism (CDM). We examine the relevant methodologies and tools to determine what is required to create a software package that can support a wide variety… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The time-dependent Gross-Pitaevskii Equation, describing the movement of parti-</p><p>cles in quantum mechanics, may not be solved analytically due to its inherent non-</p><p>linearity. Hence numerical methods are of importance to approximate the solution.</p><p>This study develops a discrete scheme in time and space to simulate the solution</p>… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Research and development activities conducted at universities and firms fuel economic growth</p><p>and play a key role in the process of innovation. Specifically, prior research has investigated the</p><p>widespread university-to-firm research development path and concluded that universities are</p><p>better suited for early stage of research while… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Databases containing information such as location points, web searches and fi- nancial transactions are becoming the new normal as technology advances. Conse- quentially, searches and cross-referencing in big data are becoming a common prob- lem as computing and statistical analysis increasingly allow for the contents of such databases to be analyzed and dredged for data. Searches… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Learning how to model the structural properties of a problem domain or an object-oriented design in form of a class diagram is an essential learning task in many software engineering courses. Since grading UML assignments is a cumbersome and time-consuming task, there is a need for an automated grading approach that can assist the instructors by speeding up the grading process, as well… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>In this thesis, a new sinc-collocation method based upon derivative interpolation is developed for solving linear and nonlinear boundary value problems involving differential as well as integro-differential equations. The sinc-collocation method is chosen for its ease of implementation, exponential convergence of error, and ability to handle to singularities in the BVP. We present a… more Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The purpose of this research is to apply four methods on two data sets, a Synthetic</p><p>dataset and a Real-World dataset, and compare the results to each other with the</p><p>intention of arriving at methods to prevent fraud. Methods used include Logistic Regression,</p><p>Isolation Forest, Ensemble Method and Generative Adversarial Networks.</p… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The Air Health Trend Indicator (AHTI) is a joint Health Canada / Environment and Climate Change Canada initiative that seeks to model the Canadian national population health risk due to acute exposure to ambient air pollution. The common model in the field uses averages of local ambient air pollution monitors to produce a population-level exposure proxy variable. This method is applied… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>This thesis utilized a unique data-set, the Quinte Longitudinal Survey, to explore relationships among precarious employment and a range of mental health problems in a representative sample of Ontario young adults. Study 1 focused on various behavioural addictions (such as problem gambling, video gaming, internet use, exercise, compulsive shopping, and sex) and precarious employment. The… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>While existing models of emotional intelligence (EI) generally recognize the importance of social competencies (SC), there is a tendency in the literature to narrow the focus to competencies that pertain to the self. Given the experiential and perceptual differences between self- vs. other-oriented emotional abilities, this is an important limitation of existing EI models and assessment… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>A comparison of two high performance computing clusters running on AWS and Sharcnet was done to determine which scenarios yield the best performance. Algorithm complexity ranged from O (n) to O (n3). Data sizes ranged from 195 KB to 2 GB. The Sharcnet hardware consisted of Intel E5-2683 and Intel E7-4850 processors with memory sizes ranging from 256 GB to 3072 GB. On AWS, C4.8xlarge… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>In recent years, we have observed an unprecedented rise in popularity of AI-powered systems. They have become ubiquitous in modern life, being used by countless people every day. Many of these AI systems are powered, entirely or partially, by deep learning models. From language translation to image recognition, deep learning models are being used to build systems with unprecedented… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Support Vector Machines (SVMs) are a deterministic, supervised machine learning algorithm that have been successfully applied to many areas of research. They are heavily grounded in mathematical theory and are effective at processing high-dimensional data. This thesis models a variety of galaxy classification tasks using SVMs and data from the Galaxy Zoo 2 project. SVM parameters were… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Public transportation systems play important role in the quality of life of citizens</p><p>in any metropolitan city. However, public transportation authorities face</p><p>criticisms from commuters due to irregularities in bus arrival times. For example,</p><p>transit bus users often complain when they miss the bus because it arrived too</p><p… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The AeolianBox is an educational and presentation tool extended in this thesis to </p><p>represent the atmospheric boundary layer (ABL) flow over a deformable surface in the </p><p>sandbox. It is a hybrid hardware cum mathematical model which helps users to visually, </p><p>interactively and spatially fathom the natural laws governing ABL airflow. The… more Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The conversion of historical analog images to time series data was performed by using deconvolution for pre-processing, followed by the use of custom built digitization algorithms. These algorithms have been developed to be user friendly with the objective of aiding in the creation of a data set from decades of mechanical observations collected from the Agincourt and Toronto geomagnetic… more Year: 2018, 2018
Member of: Trent University Graduate Thesis Collection
Abstract: <p>With wide applications in many fields such as engineering, physics, chemistry, biology and social sciences, semi-linear equations have attracted great interests of researchers from various areas. In the study of existence of solutions for such class of equations, a general and commonly applied method is the compression cone method for fixed-point index. The main idea is to construct a… more Year: 2017, 2017
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Online behavioural advertising (OBA) is an advertising technique which relies on collected customer information and online activity to serve people with more relevant ads. On November 16th, 2013, Bell Canada launched their first OBA program via Bell Mobility: the Bell Targeted Ads Program, or BTAP. My thesis provides an ethical analysis of BTAP and shows that Bell undermined and violated… more
