Enhancing water stress tolerance in soybean through phytoglobin manipulations - Year two

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.

Real-Time Modeling and Simulation of Alternative Modular Multilevel Converter Topologies

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.

Evaluation of Ion-Exchange and Nanofiltration as Effective Methods for the Removal of Trihalomethanes Pre-cursors at the Waterhen Water Treatment Plant

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.

Power Flow control in HVDC Grid and its effect on the system stability of underlying AC network

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.

Validating dynamic system analysis mooring tools using a 25-kW surface mounted hydrokinetic turbine tested at the Canadian Hydrokinetic Turbine Testing Centre

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.

Applying visual analytics to effect real-time decision making in manufacturing environments

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.

Predictive Models for the Manitoba Bio-Economy Atlas

The intern will develop a multi-year model of a biomass supply chain for Manitoba, which will comprise the back end for a web based Bio-Economy Atlas tool. The tool will create feasibility level assessments of the volume, consistency, variability, accessibility and logistics costs of the biofuel resource in Manitoba, including both conventional sources, such as agricultural residue, and unconventional sources, such as riparian biomass and cattails.

Development of high value-added products: from crushed glass to zeolite and active filtration media

In Canada, of the total amount of container glass in the market place (estimated at 850,000 tons per annum), only one-half is collected by recycling programs. The common technical and economic difficulties include the presence of organic and/or inorganic contaminants, which need to be reduced to below 0.05% for glasswork, as well as the issue of mixed color. The cost for making products with relatively low value such as glasswork and road aggregates from recycled glass can be prohibitive, providing no added incentive to improve glass recycling.

Computer Vision and Deep Learning for Moderating Visual Content

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos might contain violence, nudity, or certain objects (knife, gun, bikini, etc.) that are considered offensive.

Flow in business: Facilitating Flow in Virtual Reality trials and exploring the outcomes for product evaluations

Flow, the psychological state of being totally absorbed into an activity, has been suggested to be an important topic for future research as it represents ‘optimal experience.’ This research seeks to understand 1-how to facilitate flow while engaging with virtual reality products and 2-the outcomes of experiencing flow in regards to attitudes towards virtual reality products and purchase intentions. While learning best-practices in facilitating flow while using virtual reality, we can also conduct marketing research specifically for Zenfri Inc.’s game The Last Taxi.