Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will be focused on technologies and algorithms suitable for volume graphics model. Research topic includes 3D shape matching, alignment and recognition.
Universal NanoSensor Technologies (UNS-Tech) develops and commercializes microfabricated conductivity detectors. In this MITACS cluster, UNS-Tech will partner with Prof. Young-June Kim to test UNS-Tech’s patented silicon microchip conductance detectors and to explore new detector architectures based on micro- and nano-patterned thin metal films. The results will be analyzed and the findings will be published in scientific journals. Interns participating in this cluster will benefit from this internship by gaining tremendous knowledge of electronics-based detectors.
Chronic Kidney Disease can require patients to undergo dialysis or transplantation as treatment options. Ontario Renal Network (ORN) is responsible for setting the strategic direction of services, their aim is to improve the quality of life of every patients. The project will try to define suitability criteria for home dialysis patients by analyzing historic patient data. Once factors affecting suitability are discovered, the success score for each patient can be developed. This analysis can then be applied to new incoming patients.
Conventional camera sensors record three color channels: red, green and blue. In this project we will investigate computational photography algorithms for cameras that record a near-infrared channel (NIR) in addition to RGB. This channel is particularly useful for biometric imaging and holds great potential in consumer imaging applications as well. The key challenge in simultaneously capturing RGB and NIR is that lens behavior depends on wavelenth and thus the NIR channel may be defocused compared to the other three.
This proposed research will create a modern internal licensing database management system, which will be developed at Side Effects. The main objectives of this applied research are (1) manage customer and license information; (2) ensure the security of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the licensing data. With the participation of the intern in the design and implementation of the data core of the system, the company will benefit by being able to manage complex software licensing agreement with greater efficiency.
Product quality is a factor in insuring business success and user satisfaction. It is acheived through vigilance within quality systems. This project will explore how quality-by-design can be supported through serial recording of material signatures extracted from image analysis of baked goods produced by the industrial partner TWI Foods. An innovative digital image recording system will be used, the BioTIFF/Intercase system, developed by gDial Inc in collaboration with the Dr Peter Pennefather of the Leslie Dan Faculty of Pharmacy.
The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam detection. The result of the research will be developed into a deliverable solution. One use of the review analysis system is to retrieve valuable information for the game development team in order to improve the game.
This research investigates how a neighbourhood in London, Ontario may be designed to be both sustainable and resilient, where “resilient” means capable of dealing with future shocks and stresses. One major future shock/stress will be climate change impacts, such as extreme temperature or precipitation. This research will also conduct preliminary energy modelling of a simplified community using both current and future London temperatures.
As the world increasingly depends on the creation of new and novel ideas, the ability to manage them become paramount,. Ideation is a process that enables organizations to create, value and manage a portfolio of ideas. It can be divided into three areas: 1) Idea representation, aka Ontologies, 2)Idea evaluation and portfolio management, and 3)Idea process management. The objectives of this research are to: 1. Identify and analyze current short comings in the innovation processes, 2. Develop an ontology for ideas and the innovation process, 3.
The professor at the University of Toronto’s Department of Electrical and Computer Engineering is bringing together research students from nine universities as part of the Smart Applications on Virtual Infrastructure (SAVI) Network.
SAVI was set up to examine the future of cloud computing and software-defined networking, and Mitacs-Accelerate is helping to make the huge collaboration possible. By using Accelerate clusters, multiple students are being matched with 20 company partners for a total of 50 internships over two years.