In this study, an advanced frequency scanning method is used to extract the frequency dependent network equivalent (FDNE) impedance characteristic of a power electronic subsystem such as an HVDC transmission system or FACTS device including its controls. This is achieved by simulating it in the time domain on an EMT program, and exposing it to an energy dispersed chirp disturbance which has a broad harmonic spectrum. The impedance (or admittance) of this subsystem at the given operating point can then be determined using a Discrete Fourier Transform.
Fasting blood samples from persons with Peripheral Arterial Disease (PAD) and healthy individuals were previously collected during a prior Mitacs project.
A comparative analysis of the blood samples by metabolomics will be performed to identify potential biomarkers.
The intern will assist with the necessary correlation analysis for selecting compounds capable of serving as blood biomarkers for PAD.
Koven expects to directly benefit from the outcome(s) of this research by having the opportunity to commercialize any promising blood biomarker(s) into a diagnostic kit for early diagnosis of PAD.
Copy number variations (CNVs) are an important type of structural variation affecting pathogenesis of complex diseases, such as inflammatory bowel disease (IBD). Accurate detection of genomic regions with CNVs is crucial for understanding the etiology of IBD, as these regions contain likely drivers of disease development. Microarray technology provides single-nucleotide resolution genomic data and is considered one of the best measurement technologies to detect CNVs. This project will identify and characterize CNV in 340 IBD patients in Manitoba.
Natural fibres are abundant in Canada and have the potential to be used in a wide variety of biocomposites and industrial bioproducts. In order to develop a thriving biomaterials sector, the quality and consistency of this vast resource must be continually assessed and monitored to ensure a quality product can be delivered to end-users on a consistent basis.
The purpose of the project is to generate soybean plants able to tolerate whole plant submergence and waterlogging (soil submergence). This will be achieved by inducing Pgb, a gene normally present in soybean and known to confer tolerance to excessive humidity, through genetic manipulations. Correlative studies between Pgb expression and performance under excessive water conditions will also be conducted in commercial varieties of soybean. Similar studies will be conducted to assess the effect of altered Pgb level to drought stress.
By creating real-time and hardware porotypes, the proposed research provides opportunities for better investigation of these converters and for development of advanced and effective methods for their control. The three interns that will be trained during this research partnership will gain in-depth knowledge of modern power system equipment and knowledge of the latest developments in real-time simulation of such systems.
This project aims to establish an ion-exchange/nanofiltration pilot study at the Waterhen water treatment plant. A natural result of the chlorination disinfection process in water treatment is the formation of disinfection by-products (DBP), a family of known carcinogens. This project aims to limit the formation of these DBP by removal of their precursors using the newly implemented pilot system. KGS Group is a contributing partner to this project, and will benefit from the interaction with the University and the expertise and the analysis that they have to offer.
The share of Renewable Energy (RE) resources in overall power generation has grown over the years. Since these RE resources are located at places which are away (off-shore, desert) from the load centres, efficient and reliable power transmission to load centres is extremely important. High Voltage Direct Current (HVDC) transmission has evolved as the preferred efficient way to transmit large amount of power over long distances. It is proposed to interconnect HVDC transmission networks to form a HVDC grid for increasing efficiency and reliability.
Dynamic Systems Analysis develops and markets dynamic modeling tools like ProteusDS to predict the behavior of mechanical systems in service in the ocean and marine environments. ProteusDS relies on empirical loading coefficients to predict system loads to calculate the dynamic response of mechanical systems. DSA sees a growth opportunity to apply ProteusDS to predict dynamic mooring loads for surface-mounted hydrokinetic turbines.
Along with industry partners, including NGrain, Convergent Manufacturing and Boeing, we are proposing to develop state-of-the-art visualization and interactive techniques for exploring sensor and manufacturing component data, in-situ.