The overall aim of this internship is to conduct a thorough search of the Ontario‐based mental health and addictions organizations, agencies and community‐based organizations and identify the initiatives by the Ministries to enable implementation of CareNotes‐ a web‐based electronic patient record (EPR) solution. Understanding the technology and workflow assessment where such solutions need to be […]

The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.

With the integration of once independent control systems into business networks there lies a major security risk that organizations may not be prepared to assess or manage effectively. Without proper testing, these real-time systems are vulnerable to attack which creates a significant risk to the reliability and integrity of these systems. With the use of […]

Fast structural variation (deletion, insertion and inversion) detection between genome of different individuals is the main goal of this project. The internship team is planning in extending new algorithms to reduce the number of false positive calls (especially for deletions) and to parallelize it using Graphics Processing Unit (GPU). The standard approach implementation of the […]

This project will attempt to validate the presence of a market for location-based user generated content that users would experience with a GPS equipped smartphone. The target markets' demographics and psychographics will be identified in order to find the most appropriate ways to address the market. A marketing plan will detail the methods for connecting […]

A botnet is a generic term used to describe a network of machines infected and controlled remotely without their rightful owners' knowledge. The current generation of bots (i.e. Storm Botnet) leverages fairly complex command and control (C&C) systems using existing Peer-to-Peer (P2P) overlay network structures. Thus, chasing down botnet C&C structures has become a futile […]

Integration is a core IT operation, and is aided by a number of available best-practice techniques for integration (integration patterns). However the application of these patterns has little to no automated support. They are applied by consultants on a per-customer basis, making it an expensive and time- consuming task. A computer science student from the […]

The project shall evaluate and extend the state-of-the-art in document clustering according to semantics extracted from natural language documents. This will require testing of current methods to identify their limitations and proposal of new methods based on empirical observations. Two complementary techniques shall be evaluated: methods for incremental taxonomy growth and for calculating semantic similarity […]

The goal of the project is to improve game load times on an electronic gaming machine (EGM). Currently the bottleneck in loading a new game is the processing of game data read from memory when a new game is selected by the user. The current software based method of processing bogs down the EGM. The […]

WiMAX (Worldwide Interoperability for Microwave Access) is an innovative communication technology for broadband wireless access to the Internet. Because of high bandwidth and large coverage, WiMAX has experienced exponential growth over the past years. So far, many telecommunication companies around the world have started to offer WiMAX services. Despite the popularity of WiMAX, the reliability […]

This work can serve as the foundation of relative value strategies and portfolio sensitivity analysis. This project research on building a strategy for analyzing the sensitivity of mortgage backed securities (MBS) pool pricing to changes in financial market and underlying security characteristics, such as the property value of the underlying real estate. There is a […]

Weyes Eyes, Inc. is developing a product that uses intelligent video analytics software to alert end users to pre-configured events as they occur in video streams from cameras set up in the home or office. The user will be able to specify which types of events to capture (doors opening, people walking by, etc.) and […]