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 Full Text: Solving Differential and Integro-Differential Boundary Value Problems using a Numerical Sinc-Collocation Method Based on Derivative Interpolation A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the …
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 Full Text: Pathways to Innovation: Modelling University-to-Firm Research Development A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT …
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Deep Neural Networks (DNNs) have reached human-level performance in numerous tasks in the domain of computer vision. DNNs are efficient for both classification and the more complex task of image segmentation. These networks are typically trained on thousands of images, which are often hand-labelled by domain experts. This bottleneck creates a promising research area: training accurate… more Full Text: Representation Learning with Restorative Autoencoders for Transfer Learning A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science …
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 Full Text: Fraud Detection in Financial Businesses Using Data Mining Approaches A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science Peterborough, …
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The digital typesetting of mathematics can present many challenges to users, especially those of novice to intermediate experience levels. Through a series of experiments, we show that two models used to represent mathematical structure in these typesetting applications, the 1-dimensional structure based model and the 2-dimensional freeform model, cause interference with users'… more Full Text: Characteristics of Models for Representation of Mathematical Structure in Typesetting Applications and the Cognition of Digitally Transcribing Mathematics A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements …
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Forecasting future values of time series has long been a field with many and varied applications, from climate and weather forecasting to stock prediction and economic planning to the control of industrial processes. Many of these problems involve not only a single time series but many simultaneous series which may influence each other. This thesis provides methods based on machine… more Full Text: Time Series Algorithms in Machine Learning – A Graph Approach for Multivariate Forecasting A Thesis Submitted to the Committee of Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and …
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 Full Text: A Framework for Testing Time Series Interpolators A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY Peterborough, …
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 Full Text: Problem Solving as a Path to Understanding Mathematics Representations: An Eye-Tracking Study A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and …
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 Full Text: Automated Grading of UML Class Diagrams A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY Peterborough, Ontario, …
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 Full Text: Psychometric Properties of a Scale Developed from a Three-Factor Model of Social Competency A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and …
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 Full Text: Population-Level Ambient Pollution Exposure Proxies A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY Peterborough, …
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 Full Text: Exploring the Scalability of Deep Learning on GPU Clusters A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science Peterborough, Ontario, …
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 Full Text: CLOUD VERSUS BARE METAL A comparison of a high performance computing cluster running in a commercial cloud and on a traditional hardware cluster using OpenMP and OpenMPI A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the …
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 Full Text: THE RELATIONSHIP BETWEEN PRECARIOUS EMPLOYMENT, BEHAVIOUR ADDICTIONS AND SUBSTANCE USE AMONG CANADIAN YOUNG ADULTS: INSIGHTS FROM THE QUINTE LONGITUDINAL SURVEY A Thesis Submitted to the Committee of Graduate Studies in Partial Fulfillment of the …
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 Full Text: Support Vector Machines for Automated Galaxy Classification A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY …
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 Full Text: Historic Magnetogram Digitization A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY Peterborough, Ontario, Canada (c) …
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 Full Text: AUGMENTED REALITY SANDBOX (AEOLIAN BOX): A TEACHING AND PRESENTATION TOOL FOR ATMOSPHERIC BOUNDARY LAYER AIRFLOWS OVER A DEFORMABLE SURFACE A Thesis Submitted to the Committee of Graduate Studies In the Partial Fulfillment of the Requirements for the …
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 Full Text: Predicting Irregularities in Arrival Times for Toronto Transit Buses with LSTM Recurrent Neural Networks Using Vehicle Locations and Weather Data A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the …
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 Full Text: The Compression Cone Method on Existence of Solutions for Semi-linear Equations A Thesis Submitted to the Committee of Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT …
Year: 2017, 2017
Member of: Trent University Graduate Thesis Collection
Abstract: <p>This thesis proposes an agro-ecological zoning (AEZ) methodology of southern Ontario for the characterization and mapping of agro-ecological zones during the historical term (1981-2010), and their shifts into the long-term (2041-2070) projected climate period. Agro-ecological zones are homogenous areas with a unique combination of climate, soil, and landscape features that are important… more Full Text: The Agro-Ecological Zoning (AEZ) of Southern Ontario and the Projected Shifts Caused by Climate Change in the Long-term Future A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of …
