High power all-fiber Raman laser at 1.65 ?m

Fiber lasers have become the fastest-growing laser with a projected worldwide revenue up to $1.41 billion in 2017. In particular, fiber lasers at 1.65 ?m have drawn increasing attention with potential applications in chemical sensing, LIDAR and spectroscopy. All-fiber Raman lasing technology is a promising and efficient technology to achieve high power lasing at 1.65 ?m. However, there are limited all-fiber high power sources at 1.65 ?m that are commercially available.

Learning representations through stochastic gradient descent by minimizing the cross-validation error

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered data representations. Learning representations reduces the human labour involved in any system design, and this allows in scaling of a learning system for difficult problems.

Characterizing topography of signal fidelity in a low-cost fNIRS device

High-performance athletes have learned that even after they have exhausted their bodies during training, they can continue to train their minds for an extra edge. Imagining your sport engages many of the same brain areas used to actually play your sport, and it has been shown that such mental practice can improve sport performance. However, simply sitting and imagining isn’t very engaging and doesn’t provide either the athlete nor their coaches with any information regarding how well they are engaging in mental imagery.

Estimation and Prediction of Censored Arrival Processes with Censoring for Replenishable Item Purchases

The aim of the project is to predict future customer demand for repeat-buying items based on available customer purchase records. However, the purchase history for a single customer may not be sufficient to base predictions on. Also, some purchase records might be missing due to sales events at competitors’ locations. Thus, treating each customer as a replicant of the average customer and averaging inter-purchase times to predict future demand will likely be an inadequate approach.

Investigating the challenges of designing and implementing human resource management systems in the context of a Quebec SME.

This research project will focus primarily on the analysis of information systems technology adoption in order to improve the design of information systems and the process used for their implementation. More preciously, the main objective will be to investigate the adoption of information systems designed for human resource management in order to identify improvement opportunities for the partner’s software solution and implementation process.

Simulation and Development of a new Drive system and its Control Method for Permanent Magnet Synchronous Motor (PMSM)

The proposed research project is to develop and implement a motor drive based on new semiconductor technologies such SiCMOS and GaN. This motor drive will be used in eVox bikes developed and commercialized by Procycle. The objective is to increasing the operating voltage in the system from 100V to 250V. This high voltage device will improve substantially the efficiency of the system by decreasing the losses in the electrical machine used in the bike. This improved performance will help the company to stay in head of this very competitive market.

Development of an Echo Cancellation Scheme for Full Duplex DOCSIS 3.1 Technology

Data-Over-Cable Service Interface Specifications (DOCSIS) 3.1 is a technology that utilizes orthogonal frequency-division multiplexing (OFDM) technology to provide downstream (DS) transmission capacities of up to 10 gigabits per seconds (Gbps), as well as orthogonal frequency-division multiple access (OFDMA) technology to provide upstream (US) transmission capacities of up to 1 Gbps per channel. Full duplex (FDX) communication, via the concurrent transmission of the US and DS on the same frequencies, has been proposed for boosting the US capacity.

Estimating Real-Estate Property Prices and Days on Market through Machine Learning

In collaboration with Western Canada Realty, we aim to develop a real-estate valuation online service for the Alberta real-estate market, especially for Edmonton. The product resembles Trulia and Zillow on a high level, which are real-estate price estimation web services in U.S. The system requires a backend that takes as input house pricing information from several sources including real-estate property assessment publicly available from the City of Edmonton website and recent house transaction records on MLS®.

Intelligent surveillance for event detection

We aim to develop a video surveillance system that detects and reports events of interest to users. Traditional way is to use RGB cameras to operate in constantly and evenly illuminated areas to detect simple events. The challenge is that visual characteristics of an unconstrained scene are unstable due to illumination variations. In this project, by using RGB-D cameras, 3D position information of humans can be obtained, which is robust and insensitive to the illumination variations.

Enhancing Recommendation Engine for Open Source Software with Community Structures and Copulas

In the constantly expanding world of open source software and services, developers find it increasingly difficult to choose open source that is compliant, secure and reliable. There are millions of open source software and services publicly available today, and compliance, security and quality related information is extremely difficult for developers to find, making mindful selection of open source an onerous process.

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