The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical to smart city implementations, and will be investigated. We are proposing a smart city friendly complete proof-of-concept implementation.
Internet of Things (IOT) enabled communication devices have become a ubiquitous commodity in the smart metering solutions world for the purposes of getting the data off the meter". Many of these devices have little to no measurable security, aside from the infamous security through obscurity which we can no longer rely on, as the average individual has access to off-the-shelf discovery tools to infiltrate any such device within physical distance.
Reinforcement learning (RL) is a type of machine learning that focuses on allowing a physical or virtual agent to complete sequential decision-making tasks, such as video games. It has had many successes, but can be slow in practice, requiring large amounts of data. This project aims to speed up such learning problems by leveraging information from an existing agent. This existing agent need not be perfect the algorithm developed will leverage information from the existing agent whenever possible and learn to outperform it where it is suboptimal.
The deployment of electric and alternatively-fuelled vehicles in urban transportation constitutes a core component of current federal and provincial policies vis-a-vis Climate Action Strategies across Canada.
Titan Sécurité Inc. has deployed wearable video camera devices for security and surveillance applications, and seeks to accurately detect and recognize objects appearing in captured videos. This project focuses on video-based face recognition (FR), where facial trajectories captured with video cameras are compare against one (or few) reference stills for each individual of interest. The performance of these FR systems is typically poor due to complex and changing video surveillance environments, e.g., variations of facial appearance due to pose, illumination, blur, etc.
Discontinuities of service, variations in voltage magnitude, and distortions in AC voltage waveforms constitute the different aspects poor power quality. A poor quality of power supply can cause malfunction of sensitive equipment and interrupt industrial processes, resulting in significant economic losses. Utilities and consumers are taking actions to maintain the power quality set by the standards. Monitoring of power quality at all levels in the power system is necessary to ensure adherence to standards, but specialized power quality monitoring equipment are expensive.
The project targets design and implementation of error-correction codes for high-throughput fiber-optic communication links. We focus on the error-correction encoding at the transmitter side as well as decoding at the receiver side considering the simplicity of implementation and low power consumption at both transmitter and receiver.
To enable the development of self-driving vehicles, an accurate characterization of automotive radar modules under various road or weather conditions is required to ensure reliability is maintained under all circumstances. With this fundamental building-block established, ACAMP will be able to support Canadian technology companies in the development of autonomous vehicles.
Urinary incontinence has been always a tedious and a distressing health problem, especially for elderly people in nursing home residents. To address this issue, an effective management system is highly required to enhance the quality care, prevent health issues, and reduce labor costs. This project is focusing to develop a flexible and wearable sensor based on carbon nanomaterials. The final product, in addition to the sensor, consists Wi-FI module and app.
Sense and Avoid is a capability that is required by Unmanned Aerial Vehicles (UAV) to ensure that they do not enter into collision with other manned and unmanned aircraft. Obstacle avoidance of stationary objects is an important first step toward building Sense and Avoid systems. For stationary objects, after the object has been detected and its location has been determined, it is necessary to plan a path around the object, using a path planner, a key component of obstacle avoidance.