To combat the growing need for accessible freshwater sources across the globe, new technologies that don’t rely on fossil fuels are ideal. Additionally, these technologies should be easily implemented in the developing communities that need them most for lower cost than the current options. The purification of seawater, also known as desalination is a highly attractive method due to the large amount of easily accessible saltwater, though current methods are highly fossil-fuel dependent.
This project provides a software solution for detecting, classifying, and tracking moving sound sources underwater from the generated sounds. Generally, monitoring shipping traffic largely rely on the automatic identification systems (AIS) installed on the vessels. The ability to track these vessels is at the mercy of the functionality of the transponders onboard the vessels and the reliability of the communication link to the base stations. Similarly, to detect and track marine mammals, underwater tags are often embedded on them to provide information about their specific locations.
The project will build an Artificial Intelligence-powered Bias Detection tool to identify bias and discrimination faced by employees of a company. The tool will take in free-text content from employee surveys, internal reviews and social media, and produce a score indicating whether the author of the content is likely facing or exhibiting bias. Algorithms will be trained to recognize bias against women, ethnic & cultural minorities, LGBTQ2+ folks, individuals with disabilities, and other special groups.
New Brunswick’s (NB) food security came under scrutiny in light of supply chain disruptions related to the COVID-19 pandemic. NB relies much more heavily on diverse agrifood imports than neighbouring regions. This work will consist of an in-depth analysis of controlled environment agriculture (CEA) potential in the region. The work addresses food security, cost of production, technical and regulatory considerations, and feasibility of CEA expansion through a NB lense.
Ensuring high levels of literacy for all children is now more important than ever. However, the Canadian landscape of literacy is quickly changing. For instance, Canadian families come from increasingly multilingual and multicultural backgrounds and the use of technology and digital media in literacy is growing rapidly. In this Mitacs project, we have partnered with Canadian Children’s Literacy Foundation to answer important questions as to how parents can best support the development of their children’s reading skills.
Solar power is the fastest growing source of renewable energy worldwide. Developing low cost, high efficiency and clean solar energy technologies will be of significant long-term interests. All around the world, silicon solar cells dominate the rooftop solar energy production market due to their high efficiency and stability. However, silicon modules have limited use cases as they are bulky, opaque and difficult to apply to complex surfaces.
In the Nova Scotia healthcare system (and indeed across Canada), waitlists remain a major problem, particularly with regards to access to specialty care services. Virtual Hallway is a novel telehealth solution to this problem, providing an online platform which allows for rapid doctor-to-doctor communication with the goal of fast-tracking and improving patient care and reducing waitlist times.
The goal of this project is to design and apply the first prototype of a mobile application for the Virtual Hallway platform.
Insects are a high protein feed ingredient that can be grown sustainably. Insects need less food input, use less water, and grow well indoors making them more sustainable than traditional pet feed ingredients such as soybeans and animal proteins. Some aspects of the nutritional profile of insects can be manipulated by growing them on different feed ingredients. In this study we hope to improve the vitamin E, manganese, and iron content of insects for use in pet foods. We will feed insects sunflower seeds to crickets for various lengths of time.
Broadcast radio is changing from an analog medium based on frequency modulation (FM) to a full digital broadcast based on orthogonal frequency division multiplexing (OFDM). The high peak-to-average power ratio of the OFDM waveform requires different power amplifier topologies and a high degree of linearity. The research in this project analyzes current amplifier performance for digital radio broadcasting in the FM band, investigates new linearization techniques and explores new amplifier topologies.