The proposed project involves the development of a microgrid energy management system (or microgrid control unit – MCU) to synchronize the actions of devices such as batteries, solar panels, and other generators to achieve increased energy savings. The MCU will allow all devices to interact and exchange information seamlessly, in a “plug and play” fashion.
The proposed research project is to program artificial intelligence, as produced by technology company EAIGLE, to monitor animals’ behaviour at the Toronto Zoo. The program will be capable of distinguishing where animals are in their enclosures, between individual animals, and which behaviours they are producing under different contexts. This technology will allow zoos, conservation areas, and researchers to monitor how animals interact with their enclosures and throughout the day, allowing for improved habitats and improved data collection for future experiments. Dr.
Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required to train viable action recognition systems.
This project would address basic unanswered questions about how the application of environmentally benign process (i.e., biohydrometallurgy) on mine ores and tailings can leach and extract base and, precious that are essential for today’s “smarter” technologies. Bioprocessing methods for bio-extraction and bio-recovery of elements offer a new potential sustainable alternative compared to chemical conventional approaches.
Water quality in the watersheds of the Great Lakes are under ever-increasing pressures from population growth, urban expansion, economic development, nutrient enrichment, and climate change. We aim to develop a statistical model to understand the relative influence of anthropogenic stressors on water quality for the central Lake Ontario watershed surrounding the cities of Oshawa, Whitby, and Ajax.
Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a series of operations performed on-board the camera as the raw image recorded by the sensor is processed. It plays a crucial role in ensuring that the colors in the final image that is output to the user are correctly represented.
Wild bees are vital to our parks, gardens, greenspaces and ecosystem services, but we know surprisingly little about their habitat requirements and dietary breadth. In this proposal, we will characterize wild bee nutrition including their health and microbiomes across Canada. The postdoc will learn skills in bioinformatics, science writing and science communication. The W. Garfield Weston Foundation will benefit from furthering their mission to facilitate transformative research on the microbiome that will improve the health of Canadians.
Technology is not neutral. Look at the keyboard it assumes right handedness. For example, the number pad and arrow keys are on the right. Similarly, the inherent biases of software computer programs are at best foreign entities and at worst tools of colonization when introduced to Indigenous communities.
Through historical research, I examine the role of queer history to demonstrate how, and in what ways, oppression evolves into resistance. Focusing on visual culture, such as photographs, home video’s and films, as well as ephemera, letters and personal papers, the goal is to shed light on the dark corners of queer history. By illuminating historical pain and trauma, the intention is to reveal the resilience of previous generations, and where negative affects inform locations of recuperation.