Detecting the presence of bacteria at a low concentration during a wound healing process can eliminate catastrophic results such as chronic infection and amputation. The available diagnostic techniques with high sensitivity require high-tech equipment and are expensive. Moreover, to monitor the wound with these kits/technologies, wound dressing removal is needed, which causes the second trauma. In order to overcome these shortcomings, we are fabricating Nanosheet™ Biosensor.

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. The former will result in blurry images due to handshake and scene motion, and the latter will yield noisy images. We will explore methods that combine complimentary information from both types of images captured from two separate cameras synchronously.

The proposed research project aims at technology for environmentally benign recycling of nickel. The process entails conversion of nickel found in the "black mass" from recycled Ni-based batteries into nickel carbonyl, Ni(CO)4, by reaction with CO at modest temperatures around 50-120°C (pressuredependent). Only nickel carbonyl is volatile under these conditions and is easily separated from other metals and residual materials found in the "black mass". Downstream, the nickel tetracarbonyl vaporsare introduced into a high-temperature zone (ca.

Heat stress is a deadly occupational hazard that is projected to increase in severity with global warming. While upper limits for heat stress designed to protect all workers have been recommended by occupational safety institutes for some time, heat stress continues to compromise health and productivity. The continuing detrimental effects of heat stress may be partly explained by the inability of existing guidelines to consider individual factors (e.g., age, sex, health status, work duration) that can modify an individual’s tolerance to a given heat stress.

Electric machine condition monitoring and control techniques are being widely investigated for electric vehicle applications, which are essential to ensure high performance, efficiency, and reliability in electric traction drive system. However, the testing and validation of these techniques are challenging and have not received enough attention. Thus, the research project aims to propose new testing methodologies for validation of electric machine condition monitoring and control techniques to fill this knowledge gap in electric machine field.

Rappelon is robotic platform that works at heights on vertical surfaces. The robot can pass obstacles and working on facades with complicated geometries. With this robot, some dangerous and laborious tasks can be automated. They include highrise window cleaning, water tank painting and wind turbine blades maintenance. This project focuses on developing algorithms to keep the robot stable and make it move in different directions.To this end, analytic models as well as computer software will be developed to predict the position of each component, forces and loads on the building.

As the heat fluxes produced by modern high-performance microprocessors continue to rise, so too must the effectiveness of the removal of these fluxes. Accordingly, a large amount of research has focused on developing techniques to enhance cooling in computer systems. A novel method of doing so involves replacing the single-phase liquid or two phase-liquid vapor coolants typically employed in such systems with binary fluid mixtures.

This research project will develop new methods for detecting space debris, communication signals, and moon dust equipped on spacecraft and satellites to be launched in the future. One of the major concerns with equipment orbiting Earth is the possible collision with space debris. Also, a lunar outpost equipped with the Canadarm3 is planned for completion by 2024 as part of the lunar Gateway. Spacecraft travelling to the lunar outpost and to the surface of the moon will be heavily affected by abrasive moon dust, resulting in the need to detect its presence.

Reinforcement learning has caught significant attention in the past decade with landmark successes including deep Q-net applied to video games and AlphaGo for the game of go. However, the gap is still wide when it comes to application to real world problems mainly due to high training cost. We propose to develop a digital model of a physical system for the purpose of training an autonomous agent. This way, reinforcement algorithms can be trained on the digital model at a fraction of cost. This project will focus on a specific system: MyCobot 280 Pi from elephantRobotics.

With the latest measurements and experimental tests, we have strong evidence that the HubTrack is energy efficient and ecologically sound for a multi-functional transportation solution.