This project will develop a new mechanism for grouping objects in a dynamic environment, where new objects are regularly added with limited or incomplete information. Furthermore, the information about the existing and new objects increases over time. This new grouping mechanism will be called dynamic clustering of temporally incremental patterns. The proposal will be tested […]

Alzheimer’s disease (AD) is a major challenge for the individual affected, society at large and there only modest effective drug treatment. We believe that a central problem in AD is the deteriorating fuel supply to the brain (mostly the sugar, glucose) and this impairment appears long before the onset of memory and cognitive problems emerge. […]

Mobile games have been dominating the Canadian video game industry over the past few years. However, the growing number of game releases creates an increased necessity to focus on quality in order to stick out of the mass. While storytelling has proven to greatly increase user engagement in PC and console games, it is rarely […]

Bigmotion Inc. was created to develop wearable health monitoring sensors and service the ‘at-home’ care segment of the elder care market. This project involves studying of existing literature and development of novel solutions for power management and energy harvesting for the product including tracking and fall detection systems using hybridpower. Analysis of proper control approaches […]

This research project brings together current academia and a vibrant, growing commercial enterprise to solve real world problems. The industry partner has recently developed a high-tech, sensor-based diagnostic tool which will be evaluated by the graduate student intern. The capabilities and features of the tool will be extended through the innovative, collaborative design efforts of […]

As manufacturing and resource-based industries face growing challenges, Canada’s future increasingly depends on advances in and sustainability of knowledge organizations. Knowledge-based workers comprise a growing proportion of the workforce today. More often than not, they work in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for […]

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require […]

The energy-hungry telecomm industry is in need of power supplies with ever-increasing efficiencies to conserve energy and reduce carbon footprint. In collaboration with the industry partner, the proposed research project aims at developing a power factor correction (PFC) system, an essential component in a telecomm power supply, for achieving efficiency of 99% or above. The […]

Teams of specialized workers develop most software. For example, one team may specialize in the requirements that describe what the software is to do. Another team may specialize in producing the software itself. Yet another team may specialize in determining whether the software meets the desired requirements. Supporting communication between all these teams is challenging: […]

In modern large data centers hundreds of thousands of VMs run simultaneously on thousands of physical computing nodes and networking nodes with different security policies. A centralized security architecture based on managing all their security policies in a few large security appliances would cause major security policy complexities and choke points in the cloud infrastructure. […]

The Resident Assessment Instrument Minimum Data Set (RAI-MDS) is used by health authorities for collecting information about individuals in continuing care facilities. Collected quarterly, RAI-MDS records contain more than 500 data elements, including cognition, psychosocial well-being, health conditions, communication, physical function, and activity patterns. Because of this it has great potential for providing an incomparable […]

Copy number variations (CNVs) are an important type of structural variation affecting pathogenesis of complex diseases, such as inflammatory bowel disease (IBD). Accurate detection of genomic regions with CNVs is crucial for understanding the etiology of IBD, as these regions contain likely drivers of disease development. Microarray technology provides single-nucleotide resolution genomic data and is […]