Year: 2023, 2023
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Baxter, Sean Andrew, Thesis advisor (ths): Hurley, Richard, Degree committee member (dgc): Srivastava, Brian, Degree committee member (dgc): McConnell, Sabine, Degree committee member (dgc): Pazzi, Richard, Degree committee member (dgc): Parker, James, Degree granting institution (dgg): Trent University Abstract: <p>Video games have always been intrinsically linked with the technology available for the progress of the medium. With improvements in technology correlating directly to improvements in video games, this has recently not been the case. One recent technology video games have not fully leveraged is Cloud technology. This Thesis investigates a potential solution for video games to leverage… more Year: 2022, 2022
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Sturgeon, Robert Carl, Thesis advisor (ths): Hurley, Richard T, Degree committee member (dgc): De Grande, Robson, Degree committee member (dgc): Parker, James DA, Degree committee member (dgc): McConnell, Sabine, Degree granting institution (dgg): Trent University Abstract: <p>In this thesis, we present a framework to model user object-level request patterns in the World Wide Web.This framework consists of three sub-models: one for file access, one for Web pages, and one for storage sites.
Web Pages are modelled to be made up of different types and sizes of objects, which are characterized by way of categories.</p><p>We developed a discrete event… more 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 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>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>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: 2016, 2016
Member of: Trent University Graduate Thesis Collection
Abstract: <p>We investigated if the performance of selected supervised machine-learning techniques could be improved by combining univariate outlier-detection techniques and machine-learning methods. We developed a framework to discover class-specific thresholds in class probability estimates using univariate outlier detection and proposed two novel techniques to utilize these class-specific… more Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Beland, Jacques Alain Gerard, Thesis advisor (ths): McConnell, Sabine, Thesis advisor (ths): Irwin, Judith, Degree committee member (dgc): Abdella, Kenzu, Degree committee member (dgc): Hurley, Richard, Degree committee member (dgc): Bauer, Michael, Degree granting institution (dgg): Trent University Abstract: <p>Artificial Neural Networks (ANN) have been applied to many areas of research. These techniques use a series of object attributes and can be trained to recognize different classes of objects. The Self-Organizing Map (SOM) is an unsupervised machine learning technique which has been shown to be successful in the mapping of high-dimensional data into a 2D representation referred to as a map… more Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Abstract: <p>With the exponential growth of the Internet, performance is an issue as bandwidth is often limited. A scalable solution to reduce the amount of bandwidth required is Web caching. Web caching (especially at the proxy-level) has been shown to be quite successful at addressing this issue. However as the number and needs of the clients grow, it becomes infeasible and inefficient to have just… more Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Abstract: <p>This thesis presents a technique to produce signatures from topologies generated by the Growing Neural Gas algorithm. The generated signatures have the following characteristics: The signature's memory footprint is smaller than the "real object" and it represents a point in the n x m multidimensional space. Signatures can be compared based on Euclidean distance and… more Year: 2014, 2014
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Dobosz, Rafal, Thesis advisor (ths): McConnell, Sabine, Thesis advisor (ths): Hurley, Richard, Degree committee member (dgc): McConnell, Sabine, Degree committee member (dgc): Hurley, Richard, Degree committee member (dgc): Hajibabaei, Mehrdad, Degree committee member (dgc): Cater, Bruce, Degree granting institution (dgg): Trent University Abstract: <p>As the generation of genetic data accelerates, Big Data has an increasing impact on the way bioinformatics software is used. The experiments become larger and more complex than originally envisioned by software designers. One way to deal with this problem is to use parallel computing.</p><p>Using the program Structure as a case study, we investigate ways in which to… more
