Innovative Projects Realized

Optimization of cloud computing usage cost through artificial intelligence techniques

Real-time context-aware recommender systems

Assessment of community needs and capacities in Rosetown, SK

Development of a framework for risk assessment for horizontal directional drilling applications

The response of small mammal populations to riparian treatment practices on Lyell Island

Power monitor load disaggregation for the electric grid

Consuming Enterprise Cloud Data on Mobile devices and Desktops

Collaborative book creation – foundation HCI research for Kibooco.

Valuation analysis of Canada’s privately-held technology companies

Gowganda-hosted deformation veins as indicator minerals for underlying mineralization

Designing a kinect camera-based API to detect qualities of movement

Despite enormous advances in technology, digital interfaces continue to rely on text and image based communication, demonstrating a lack of support for full-body sensory engagement, and downplaying the body’s role in communication and experience. This dependence on visual modes of input and output relies heavily on an individual’s attention, presenting problems for people performing tasks such as walking or driving. There is currently much work being done on gestural movement interaction as an alternative input method with most research addressing functional or task-oriented movement. These approaches, however, neglect the semantic and expressive qualities of movement which constitute an alternative language for interaction. The proposed internship is part of an ongoing investigation of the ways in which embodied meaning is attributed to photographic content through the use of movement-based tagging. This internship will focus on the development of a photo tagging application utilizing a Microsoft© Kinect Camera to capture users’ movements. The intern will focus on the development of the software for this system that will analyze and categorize the characteristics of an individual’s movements based on the Laban Movement Analysis (LMA) framework. The development of a system capable of this type of movement detection has the potential to transform how technologies are used and to promote greater accessibility. It would also benefit the industry partner by providing new competitive capabilities in future software developed by Reality Controls.

Bootstrapping yield curves

Financial market’s stability depends on the accurate pricing of financial products traded in the market. This makes accurate pricing of products a top priority for the banks and financial instruments. Inaccurate prices can lead to instability in the market and formation of bubbles. This leads into market crashes such as the 2008 crash where the housing prices bubble caused the market crash. This project’s aim is to develop a tool for the bank to price financial products. This tool will provide the information required for pricing a product. This tool uses the available products in the market to obtain the structure and information required for pricing a product. Moreover, this tool will allow the bank to study the discrepancies in the prices of products available in the market.