Fiber Bragg gratings (FBGs) have attracted considerable interest in the past three decades as a key technology in different applications. The intention of this project is to develop a FBG writing technique based on a scanning tunable Phase-Mask Interferometer using different UV lasers. The project includes optimizing the tunability of the interferometer, and analyzing the specific problem situations encountered in the process in order to develop the interrogation methods of the proposed technique.
MixGenius works on automated musical production by real-time musical genre detection. High accuracy of genre detection for a variety of sub-genres is required for quality production and has yet to be achieved. The project involves researching available real-time high-accuracy musical genre detection methods and improving upon them, extracting each genre’s audio features, calibrating the algorithm with a database of songs of different genres, testing them with other songs of the same genres and repeating the process as needed to improve detection accuracy.
Pour tester les contrôleurs électriques dans les domaines tels que les systèmes de puissance, l’aéronautique et l’automobile, on doit réaliser des simulateurs temps réel des moteurs et d’autres dispositifs électriques afin de s’assurer de leur bon fonctionnement et de leur sécurité dans diverses circonstances (ex. la foudre qui frappe une ligne de transmission ou un avion). Par ailleurs, ces simulateurs doivent réagir très rapidement aux commandes (de l’ordre du millionième de seconde).
The performance and stability of flexible mechanical structures in fluid flow can be improved by imposing bending-torsion coupling. In these structures, a bending deformation induces a torsional deformation which can be beneficial for the performance and stability. For instance, flexible wings can be tailored in such a way to have large deformations and twist passively to decrease the angle of attack and the structural loading.
The proposed MITACS internship project is an extension of an existing research collaboration in advanced aerodynamic flow control concepts with electro-fluidic actuators between École Polytechnique de Montréal (Polytechnique) and the Indian Institute of Technology Kanpur (IIT-K). The former party is responsible for wind tunnel experiments and the latter party for advanced flow simulations with a world-leading DNS CFD code.
The accurate localization of facial keypoints in static images, and their tracking in video has many potential applications. In this project we will address the problem of fine-grained facial keypoint tracking using multiple images and cameras, possibly including depth cameras. We have identified three potential partners, each of whom focus on applications that require the accurate localization and/or tracking of facial keypoints. In one potential application we are interested in detecting certain congenital syndromes using detailed facial analysis.
This project is aimed to develop novel catalytic system and process for production of valuable chemicals such as 1,3-propanediol and acrylic acid from glycerol. Glycerol is a byproduct of biodiesel production (10 kg of biodiesel yields 1 kg of glycerol). The production of biodiesel is expected to grow almost 7-fold from 3.8 MMTPA in 2005 to about 25 MMTPA in 2015. This increase in demand for biodiesel in the world market has increased the quantity of glycerol generated.
Cascades within the MITACS Elevation program are threefold: a. Ensure their industrial voice is represented on this international consensus building process b. Being proactive, influence the process and anticipate the developments on the consensus around water footprinting methods c. Generate industry specific case studies to test the method, ensure key problems are addressed and increase internal awareness Supporting the researcher that will lead the international process conducted under WULCA group is the mean of meeting the above mentioned objectives.
This research project tackles a condition-based maintenance optimization problem in the railway equipment at ArcelorMittal Infrastructure Canada (AMIC). Logical Analysis of Data (LAD), a data mining technique, will be applied to exploit thousands of data records in order to identify and predict failure causes and degradation behavior of the equipment under study. New knowledge discovery approaches will be developed in order to deal with AMIC’s large scale databases. Mathematical programming and artificial intelligence techniques will be employed to develop these approaches.
he goal of this project is to achieve high quality real-time motion deblurring for images captured by cameras mounted on mobile devices. First, we will propose a novel two-camera technique that exploits the trade-off between spatial and temporal resolutions in capturing the photo with the camera movement information to be used in the deblurring process. Second, we will introduce new point-spread function (PSF) estimation algorithms by employing the motion information captured by the two-camera imaging device. Third, we will develop new deconvolution algorithms suitable for mobile devices.