Human Activity Analysis in Sports Videos

Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very different. In addition, clothing, illumination and background changes can increase this dissimilarity.

Silicon photonic thermal phase shifter for on-chip spectrometer

Luxmux sensors will monitor steam quality and water quality for in-situ Thermally Enhanced Heavy Oil Recovery. In Canada, 2 billions of kilograms of steam are produced per year for heavy oil recovery and this amount is expected to double in the next ten years. Each year, heavy oil producers spend $2.3 billions on natural gas to produce this steam. Lack of technology for online monitoring of steam quality and water quality reduces the amount of oil that can be produced and increases the amount of greenhouse gases (GHG) being emitted.

Further investigation of Paced Electrogram Fraction Analysis (PEFA)

The goal of this project is to develop a faster and more accurate way to detect ventricular tachycardia using an algorithm to analyze the signal results from Paced Electrogram Fractionation Analysis (PEFA); ideally real time through use of a basket catheter. St Jude Medical, our research partner, creates medical hardware specifically geared towards detecting and treating heart disease, including arrhythmia. If we are successful in our endeavor, they hope to gain an improved diagnostic system.

Exploring energy disaggregation techniques for application on low resolution energy data from non-residential properties

Reducing energy consumption is one of many ways to respond to our urgent global need to reduce carbon dioxide (CO2) emissions. To do so, it is important to identify the most effective energy saving strategies and communicate them to energy consumers. Pulse Energy is a company that works to do just that and is always looking to improve their energy saving recommendations.

EyesIQ

The current EyesIQ system has a few limitations in terms of performance and accuracy:To be able to stitch images from a 2D microscope slide, the 2D position from one image to another needs to be calculated. This process is called image registration. However, inaccuracy in the image registration algorithm introduces a slight error in calculated image position. As more images are being stitched together, the image registration error accumulates. For example, the image position error is more noticeable when the path of the images form a loop.

Digital Pre-Distortion for Concurrent Multiband and Multiple Antenna Transmission Year Two

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for multiband and multiple input multiple output (MIMO) wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in a more efficient power level resulting in more energy efficient wireless networks.

Enhancing Small-cell Wireless Backhauling

The cellular network nowadays faces an uphill battle against the explosive growth of mobile data traffic. Deploying low power radio base stations covering small cells within the current cellular coverage area is a promising approach to significantly boost the network capacity, provide better coverage, and reduce network congestion.

A Hybrid Wireless Power Transfer System

One of the major bottlenecks in portable devices is the limited energy provided by batteries. Some devices can afford larger battery packages and thus extend their battery longevity. However, for small portable units such as Recon Instrument's sport goggles, using larger batteries is not feasible. This research is mainly focused on remote charging for separation distances of up to 50 cm. It will lead to design and implement a dual-mode (hybrid) wireless power transfer system that is capable of both providing a "top-up" power as well as recharging the battery of the portable units.

Developing a Reliability-Based Life-Cycle Cost Model for Electric Motors

The proposed internship aims to study how the characteristics and reliability of Permanent Magnet Electric Motors (PMs) affect their life-cycle cost (LCC), including initial, maintenance, and energy costs. First, the effect of the variation of design variables on the performance and initial cost of PMs will be assessed and the cost will be correlated to performance. Second, the effect of materials and processes on the reliability and the LCC of PMs will be studied and LCC will be correlated to reliability. The results will be presented to TM4 in form of a detailed database.

Developing Advanced Topologies for High-Power Motor Drives

Energy saving is one of the important issues in today world. In order to improve the performance of the industrial motor drives for high-power applications, higher voltage power converters are recommended. Compared with low-power converters, high-power systems have their distinct characteristics and challenges, and usually require converter configurations capable of processing energy conversion at higher power and voltage levels. The technical requirements and challenges for MV systems differ in many aspects from those of the low-voltage AC converters, which have been mostly resolved.

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