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Raising the bar for password crackers: improving the quality of honeywords with deep neural networks
(2022-12-01)
Honeywords are fictitious passwords inserted into databases in order to identify password breaches. Producing honeywords that are difficult to distinguish from actual passwords automatically is a time-consuming and ...
Optimizing relational search with embedded neural network
(2023-04-01)
Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ...
Magic Pen: automatic pen-mode switching for document annotation
(2022-08-01)
Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...
Assessing nearshore water quality and biological condition in the Kawartha Lakes using a community science approach
(2022-08-01)
The Kawartha Lakes, located in south-central Ontario, are a popular tourist destination, with a growing permanent resident population. Consequently, land development in its watersheds continues, and the specific land-use ...
Discrete optimization of upgrade scheduling
(2022-08-01)
A primary objective of the mission to meet climate change goals of reducing greenhouse gas (GHG) emissions is to transition from fossil fuels to zero-emission energy. Fossil fuel production and transportation account for ...
Calculating thermochemical equilibrium for multiphysics simulations of nuclear materials : development of yellowjacket gibbs energy minimiser
(2022-11-01)
Nuclear fuels and structural materials are highly complex systems that are remarkably challenging to understand and model. Material behaviours are influenced by multiple physical phenomena such as mechanics, chemistry, ...
Generative models for multi-modality image inpainting and resolution enhancement
(2022-04-01)
Recently, deep learning methods specifically generative adversarial networks (GANs) have been used to rapidly improve a wide range of image enhancement tasks including image inpainting and image resolution enhancement also ...
Novel electrode materials and advanced electrochemical diagnostics for electrochromic devices
(2022-04-01)
Electrochromic materials (ECMs) are a class of “smart” materials used in a variety of applications due to the ability to alter their optical properties with the application of a potential. For these applications, ECMs are ...
Interfaces for alternatives, difference visualizations and collaborative authoring of behavior trees
(2020-12-01)
A visual behavior authoring framework for exploring and comparing multiple game AI behavior alternatives is presented. A mixed method study revealed participants rated it higher compared to the control framework. Mostly ...
Proportional-integral control in the evaluation of glucose homeostasis and Type 2 Diabetes
(University of Ontario Institute of Technology, 2022-06-01)
Mathematical modelling of blood sugar dynamics has been explored since the early 1960s. For most of these models, measurements of hormones such as insulin and glucagon are required to find parameter values that yield ...