Biomass combustion, which is a growing business, is used to generate heat and power. It is a very attractive system because it provides energy at cheaper price compared to oil and gas fuels and also emits fewer pollutants into the atmosphere. As the name implies, the combustion system is fired using renewable fuels such as forest and agriculture residues. Biovalco Inc., which is a Canadian company, is gradually increasing its share in this energy market.
The main objective of this research is to calculate Control performance standards in an interconnected power system without running the time domain simulation. Using a faster approach which requires probability distribution of load change. PSCAD and PSSE simulation tools will be used to carry out the research. System identification technique will be used to estimate necessary transfer function models. These transfer function models will be used to generate data for the calculation purpose.
In partnership with Zenfri Inc, this project seeks to facilitate the successful introduction of a mobile game called Clandestine Anomaly to the mobile game market. Due to the embryonic stage of the mobile game market this research will use primary and secondary research methods to create a market analysis and inform the market strategy. Firstly, this research will provide an understanding of the business environment by analyzing successful products and their marketing strategies along with industry trends and characteristics.
We propose to develop computer vision technologies for recognizing 3D environment for augmented reality (AR) mobile games. Given an image/video taken captured a mobile device (e.g. iPad), we would like to be able to recognize some useful information about the 3D environment of the game player. For example, one of our goals is to recognize whether the player is in an indoor or outdoor environment. This information will allow the game to project appropriate virtual objects and characters that interact with the user. Another goal is to recognize certain important objects (e.g.
Once prostate cancer is diagnosed, a series of biopsies has to be done to determine how serious the case is. These can be invasive and painful for the patient and may not give an accurate prognosis.
In partnership with Mitacs-Accelerate intern Julius Adebayo Awe, CancerCare Manitoba has developed an innovative way to determine the progression of prostate cancer in intermediate risk prostate cancer patients through a simple blood test. This work is done in collaboration with the Manitoba Prostate Centre and Drs. Darrel Drachenberg and Jeff Saranchuk.
Fusarium fungi infestation causes Canadian grain producers a loss of almost $1 billion dollars per year. Fusarium fungi produce toxins, e.g., deoxynivalenol (DON) which cause toxic effects in animals and possibly humans. We will develop a portable hand-held hyperspectral imaging device to detect, in the field, Fusarium infestation in grains. We will also evaluate the applicability of spectroscopic Optical Coherence Tomography to accurately and quickly determine DON level in grains with high sensitivity (1 ppm to 10 ppm).
High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro system involves collection of AC power in the north where it is converted to DC and then transferred to southern Manitoba (approx 900km) where it is converted back to AC to feed consumers. Recently the problems of inter area oscillations have been reported in the system. Manitoba Hydro uses feedback signals such as frequency from the converter stations as control input to modulate power through HVDC links to damp these oscillations.
Microwave Imaging (MWI) is an emerging modality where the goal is to estimate the electrical properties of an object-of-interest. This is done by transmitting a microwave signal into the OI and collecting measurements outside the OI. The measurements are inputs to an optimization algorithm that solves for the unknown electrical properties. It has been proven using computational techniques that the proposed modality can be successfully adapted for monitoring moisture content inside grain bins.
The existing technologies used for monitoring the voltage and the electric field in the vicinity of the high voltage devices are bulky and expensive. On the other hand, maintenance of the monitoring devices requires specific safety precautions. In this research project, a small and inexpensive electric field sensor is proposed. They are passive and require no source of power. This eliminates the need of changing the batteries and direct contact to the high voltage apparatus. The interrogation system will be wireless that makes the distant measurement possible.
The aim of the proposed research cluster is to advance the state of the art of secure operation of power systems by developing new methods and tools. A power system is expected to perform within specified operating boundaries of system voltage and frequency under normal conditions when there are no component outages. Further, it should also be able to deliver the same performance under single outages that are most likely to occur. Two ways of advancing the state of the art will be addressed in this research cluster.