Ensuring Stability and Accuracy of Multi-rate Electromagnetic Transient Simulation

Real-time digital power system simulators are used for testing and debugging control equipment intended for field installation. They simulate the power network in ‘real-time’, i.e., the simulation computations are rapidly completed so as to retain synchronism with a real-world clock. This requires the level of complexity in different components of the network to be judiciously selected so that the computation speed-up does not significantly compromise accuracy. Multi-rate simulation is a widely used approach to achieve this.

Developing an unbiased robust algorithm for objective diagnostic classification of most common types of dementia

Alzheimer’s disease (AD) and Alzheimer’s with cerebrovascular disease (AD-CVD) are the two most common types of dementia in elderly population. Differential diagnosis of dementia type in early stage is challenging due to overlapping symptoms and mixed etiologies. Current diagnostic techniques are invasive, expensive, or lack independent validation. An early detection of dementia type helps enabling better personalized treatments. Electrovestibulography (EVestG) showed promising preliminary results in early detection of dementia types.

Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design novel compounds with predefined properties. We will collect and analyze the publicly available data from peer-reviewed publications and in-house data to build the AI models.

Examining access to and use of internet and risk of social isolation during COVID-19 pandemic among both younger and older adults with Intellectual and Developmental Disabilities in Manitoba

The use of technology is considered as a potential solution to cope with social isolation particularly during the strict restrictions of a pandemic (Government of Canada, 2020). The proposed study is aimed at examining access to and use of internet and risk of social isolation during COVID-19 pandemic among both younger and older adults with intellectual and developmental disabilities. We will conduct an online survey to collect the required data. All Manitoba adults with intellectual and developmental disabilities will be invited to participate in the study.

Evaluation of the antimicrobial activity of a natural product aqueous extract

This project intends to test the antimicrobial potential of a GRAS status, natural product extracts. Using different varieties of our natural product we will test our own extraction procedure (currently not in use industrially) against different types of bacteria and fungi to see if they can be used as an antimicrobial treatment. This antimicrobial treatment has great potential for both human health application as well as agriculture, with emphasis on grapes. The research aims to find the active ingredients in extracts that show promise to adapt for future antimicrobial research.

Kisik clean energy solar photovoltaic power with Sayisi Dene First Nation

Sayisi Dene First Nation is a fly-in remote northern Manitoba community wanting to shift to clean energy. Kisik Clean Energy focuses for this project on shifting this diesel energy-dependent First Nation communities to solar energy integrating energy storage with lithium-ion batteries for assisting with microgrid technology. The Sun will soon deliver the Sayisi Dene community's power, and the diesel generators can switch off to reduce the diesel used per year.

Kitigay: Indigenous food systems research with Brokenhead Ojibway Nation, Manitoba

This research documents the social impact of an Indigenous food systems development and education program called Kitigay. Kitigay means to plant in Ojibway to describe planting food but also ideas and education. This proposed participatory research supports farm and wild rice paddy design, implementation, training, and food product marketing in the First Nation of Brokenhead Ojibway Nation. This research explores how community-led Indigenous food systems education and projects can meet communities' needs and priorities to foster Indigenous food sovereignty and self-determination.

Broadening the vascular diagnostic service continuum of Koven Technology Canada through the development and validation of a novel in vitro diagnostic technology to diagnose peripheral arterial disease

Peripheral arterial disease (PAD) is caused by changes in the wall of the blood vessels of the legs that make them narrow and stiff. The main causes of PAD are atherosclerosis and smoking. Unlike many other diseases, there is no blood test that is capable of detecting PAD. Instead, persons have to be referred by their doctor and they must go to a specialized clinic where an expensive hour-long ankle-brachial (ABI) test is performed.

Koven wants to develop a simple, inexpensive and reliable blood test that can detect PAD.

Sustainable development of solid waste management in the Municipality of Roblin

The current waste disposal cells at the Municipality of Roblin has been full. They have to design a new cell to receive more waste. This project is predicted to determine its feasibility through an environmental assessment in view of the proposed waste disposal cell. Moreover, the recycling program has been conducted in this region. However, the diversion rate is expected to improve. Optimizing the existing recycling program is one of the objectives of this project. Besides, consider whether there are other programs to enhance the waste diversion rate.

Intelligent Lawn Mow Routing using Automatic Vehicle Locator Technology for Smart City

In Winnipeg, MB, grass and weed growth can be seen during the summer, up until the middle of October. Weeds such as dandelions are hazardous to human health as they can trigger allergic and asthmatic reactions to the public. Their roots can grow up to two feet long if not removed on time. During the grass growth period, the City of Winnipeg uses many mowers of different sizes and horse-powers to mow and remove the weeds in boulevards, athletic fields, parks and other city owned green spaces. Currently, mowing routes are decided manually by the foremen. This is inefficient and time consuming.