Wildlife viewing-based ecotourism relies on accurate accounting and predictable presence of their target animal populations. Spirit Bear Lodge, a community owned company of the Kitasoo/Xai’xais First Nation, operates a bear viewing operation throughout their Traditional Territory on the central coast of British Columbia.

To research will help Tap for Tap to generate and collect information on user behavior that can help improve their matching algorithms. The core of the work consists in analyzing a large dataset of app users’ responses to advertising. Clearly, much of this search for determinants of successful matching will be statistical in nature. Still, this search will also be guided by an alert eye on the mechanisms that may lie behind the relationships uncovered in the data.

In Canada healthcare is being modernized and transformed through a range of new healthcare information technologies and systems. Applications of information systems such as electronic health records (EHRs), electronic medical decision support and an increasing range of mobile health applications promise to transform and improve healthcare and increase patient safety. However, although such technology has huge potential benefits, research has shown that if not designed, tested and implemented properly such technology also has the potential to introduce new types of error – i.e.

This project seeks to develop GPU based versions of CPU implemented Subsurface scattering shaders. Rendering in video games and movies require increasingly complex simulation of skin and other effects from translucent materials As a visual effects solution provider, Cebus Visual Technology is very interested in implementing their shaders on the GPU to increase the computational throughput. Such an experience would be beneficial for an internal student.

While a significant number of tools have been developed to extract from web repositories information relevant to some search criteria, the unstructured nature of the returned information limits the ability to extract automatically concise and meaningful profiles. The purpose of this project is to develop anintelligent framework using case-based reasoning and semantic similarity to encode expert knowledgeon extracting meaningful and concise profiles for individuals and organizations, and enable effectivematching of the profiles.

There is a pressing need to apply genomics-based tools for rapidly evaluating the impact of industrial and municipal waste management practices and climate change. In order to do this, information about the genome from relevant North American species is needed, yet acquiring these complex genome sequences had been cost and resource prohibitive until recently.

With this project we propose a re-thinking of ICT infrastructure to include a framework that exploits commodity many-core systems to evaluate models. The framework permits comparison, evaluation and improvement of competing and complementary models and appear to hold promise. Our proposal focuses on the computationally intensive tasks associated with near-field Tsunami detection, leveraging parallelism to process environmental conditions in real-time to deliver informed warnings to populations at risk.

The objective of this internship proposal is to develop a decision support instrument for Priologic to assist companies in making the software development outsourcing decision. Specifically the decision support instrument should provide guidance on whether a certain software development project merits offshoring, nearshoring or rather inhouse production. Priologic, the industry partner on this grant proposal, is a software firm that is interested in making the instrument available on its website to assist its existing customers, and identify and attract new potential customers.