Browsing by Title
Now showing items 767-786 of 1629
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A framework for integrating wireless sensors and cloud computing
(2015-01-01)Wireless sensors generate a large volume of data that require a highly scalable framework that enables storage, processing, and analysis. Cloud computing technology can provide unlimited storage in addition to a flexible ... -
A Framework for Interactive Conference Posters
(2021-05-25)In this paper, we present a complete framework for extending conference posters with interactive content. Poster content will become interactive, allowing viewers to manipulate visualizations, and save them for later. We ... -
A framework for privacy-preserving data sharing in smart grid
(2016-01-01)While smart grid introduces a lot of enhancements to the traditional power grid and improves managing and controlling consumers demands, it also introduces security and privacy issues. Therefore, failure to address them ... -
A framework for proactive fault tolerance in cloud-IoT applications
(2022-04-01)Integrating Internet of Things (IoT) devices with the cloud has several benefits, including expanding local IoT resources and improving cloud-IoT application performance. Cloud computing can benefit from IoT devices and ... -
A framework for provisioning algorithms as a service
(2016-02-01)Designing, implementing and executing algorithms have become a relevant and important element in various fields. Public users and data researchers are interested in analyzing and interpreting data with shorter execution ... -
A framework for quality improvement and evaluation of a clinical decision support system in NICU environment in cross-cultural settings.
(2013-11-01)The primary purpose of this quality improvement research is to design a structured study to improve clinical process and outcomes in healthcare. This thesis presents a framework for quality improvement and evaluation of a ... -
A framework for video-driven crowd synthesis.
(2014-09-01)We present a framework for video-driven crowd synthesis. The proposed framework employs motion analysis techniques to extract inter-frame motion vectors from the exemplar crowd videos. Motion vectors collected over the ... -
A framework of image processing for image-guided procedures
(2016-07-01)Contrary to the cases of open surgery, during minimally invasive procedures, surgeons have no direct access or very limited access to the operative site and can only visualize the site and the focal region with the aid of ... -
Free methionine sulfoxide reductase and its contributions to environmental stress response in Komagataeibacter hansenii
(2023-12-01)Komagataeibacter hansenii (ATCC 23769) is a non-virulent acetic acid bacterium that forms cellulosic biofilms at the air-liquid interface of liquid media, serving as a model for biofilm forming pathogenic bacteria. In this ... -
Frequency and predictors of tonsil surgery
(2018-01-01)This thesis assesses the frequency of tonsil surgery and examines its predictors. Tonsil surgery is a common procedure which carries both advantages and disadvantages. The study begins with a systematic literature review ... -
Front underride protection devices: design methodology for heavy vehicle crashworthiness
(2016-04-01)North American Heavy Vehicles contribute to a third of all road fatalities in Canada. Head on collisions are one of the most severe, as the mismatch of vehicle weight and sizing intensifies when a passenger vehicle is ... -
Front underride protection devices: methods for design and testing
(2014-04-01)Improvements to highway safety are in continual demand. One of the most severe instances of vehicle collision occurs as a result of vehicle weight and sizing mismatch. The fitment of Front Underride Protection Devices ... -
The Functionalization of Magnetic Fe3O4@TiO2 by Molecular Motif for the Detection of Mercury (II)
(2019-07-01)2,6-bis(2-thienyl)pyridine (L) molecular receptor showed strong potential for Hg2+ detection. The chelation through S,N,S was confirmed as a main binding mode of the ligand with Hg2+ ion based on the results of 1H NMR. L ... -
Functionalized carbon surfaces for clean electrochemical energy systems
(2022-03-01)The development and implementation of clean energy technologies is the way to overcome the global energy crisis and reduce pollution. Therefore, new energy solutions are rapidly needed. Fuel cells (FCs) may become one such ... -
Fundamental investigation of fuel cell-based breath alcohol sensors and the cause of sensor degradation in low-humidity conditions
(2011-08-01)The goal of this research project was to characterize the physical and electrochemical properties of a commercially available fuel cell-based breath alcohol sensor. Characteristics of the existing sensor were compared with ... -
Galo: guided automated learning for query workload re-optimization
(2018-12-01)Traditional query optimization techniques often fail when logical subtleties in business queries and schemas circumvent them. Query performance problem determination is typically performed manually in consultation with ... -
A game-theoretic model for co-promotions: Choosing a complementary versus an independent product ally
(Elsevier, 2015-07)This paper studies the optimal choice of promotional partners in a three-firm market where two firms sell complementary products and a third firm sells an independent product. Game-theoretic models are developed to investigate ... -
Gendered boomtown impacts: a social service perspective on experiences of women in resource extraction communities
(2019-12-01)The natural resource industry is dynamic, unpredictable, and unconventional. Past research on this industry has examined ‘boomtown impacts’ such has challenges to community cohesion, infrastructure issues, and crime, but ... -
Gendered pathways: family violence as a primary pathway into homelessness for women
(2022-08-01)This thesis analyzes secondary data from a study done on 30 homeless men and women in a region in Southern Ontario to assess the gendering of homeless pathways between each group. Qualitative and quantitative methods were ... -
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 ...