PREDICT: Parallel Resources for Early Detection of Immediate Causes of Tsunamis

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 […]

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Machine Learning based Events Targeting Applications in Online Display Advertising

An important concept in industry and science is the occurrence of rare events: events that occur with low probabilities but have significant impacts. Examples of rare events include the chance of an automobile insurance holder filing a claim or credit card accounts are compromised. The proposed project investigates applications of machine learning algorithms in the […]

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Towards automating ore sorting with rich sensors

To make mining more efficient and environmentally friendly, transportation of rock should be minimized. Ideally we would only transport those rocks that contain economically extractable amounts of minerals. MineSense has developed sensors that can detect the level of minerals in rocks and, in particular, can detect very low levels with high accuracy. This proposal is […]

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New rockstar philosophy: an interactive e-book app

An eBook App is a native app that can grant access to all of a book’s content and additionally integrade any functionality to it. It is an interesting option for ebook projects that have access to large amounts of content want to incorporate user-generated data and connect to other digital artifacts. Unlike a pdf an […]

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Middleware layer for mobile game architecture

Mobile devices are well established at the heart of our digital lives. Today, these devices are utilized as personalized and enterprise application nodes. Moreover, mobile devices support ubiquitous access to data which even makes them a pivotal component in the deployment of applications such as online games. However, there are challenges that have plagued the […]

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Efficient massive spatial data search with version control

In large scale earth observation systems, data is gathered in short duration surveys returning massive numbers of point data observations (often millions) covering significantly sized regions. To maintain up-to-date products (e.g. navigation charts in harbours with continuous silt build-up), successive surveys are performed that often cover overlapping areas. Searches to find all the data in […]

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Genomics Study to Identify Genes & Pathways Controlling Reproductive Longevity

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In livestock, RL of female breeders is a key productivity factor, especially for dairy cows. The genes that determine RL in humans are potential sources of diagnostic and therapeutic innovations for fertility and reproductive health. The proposed research aims to identify […]

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Advanced Crowdsourced Market Research and Reporting Using Machine Learning

Chaordix is a company that develops crowdsourcing solutions for a variety of clients in industry, universities and governments. In early 2009, it launched a commercial managed services platform for crowdsourcing, called Chaordix, which has firmly established the company as a crowdsourcing pioneer. At this point in time Chaordix provides a global standard in crowdsourced market […]

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Building an automated text mining algorithm to extract location-based information

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations (e.g., GIS) requires a considerable amount of human effort. This becomes challenging especially when the same place name is represented by multiple places, such as in the naming of waterbodies (e.g. lakes and rivers). In this project we […]

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Developing m-health application framework

MedInstructional Resources Inc. focuses on providing turnkey solution for the education needs of the medical professions. Our current focus is on improving the reliability, agility, accountability and quality of medical student exams. The widespread adoption of mobile computing devices like tablets, offer the possibility to digitize the process of conducting student/patient exams in hospitals. MedInstructional […]

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Novel Approaches for Identifying, Tracking and Preventing Technology-Induced Error

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 […]

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Programming multicore systems with explicitly managed memory

STMicroelectronics has designed a new multicore processor STHORM, which is now going into production. This system promises significant improvements in performance per unit of energy, but poses new challenges in programming. Unlike conventional processors, STHORM does not automatically move program data between various levels of the processor’s memory system. This is one of the reasons […]

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