Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Cuss, Chad Warren, Thesis advisor (ths): Gueguen, Celine, Degree committee member (dgc): Watmough, Shaun, Degree committee member (dgc): McConnell, Sabine, Degree committee member (dgc): Dillon, Peter, Degree granting institution (dgg): Trent University Abstract: <p>Dissolved organic matter (DOM) is a mixture of molecules with dynamic structure and composition that are ubiquitous in aquatic systems. DOM has several important functions in both natural and engineered systems, such as supporting microorganisms, governing the toxicity of metals and other pollutants, and controlling the fate of dissolved carbon. The structure and composition of DOM… 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
