This project mainly introduces the ideas of blockchain and artificial intelligence algorithms into the future 6G Internet of Vehicles and Internet of Things environment. Try new breakthroughs against the current bottlenecks in the Internet of Vehicles and Internet of Things, and strive to improve the performance of the network communication environment.
Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, and the system becomes ready to answer related questions to their followers or audience who are interested in the service or product. Providing answers to the questions of the clients can help to increase sales and grow the business.
Gallium nitride (GaN) high-electron-mobility transistors (HEMTs) are good candidates to replace the traditional silicon-based transistors. Although these devices show superior performances compared to Si and SiC-based devices, they suffer from some reliability issues. The aim of this research project is to improve the performance of the GaN HEMTs and enhance their reliability by performing a data analysis technique. This analysis would result in better understanding of GaN HEMTs’ characteristics.
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 notion of ownership is fundamental and essential in a number of settings, including the setting that is the focus of this proposal: information over the Internet. Ownership of some content, in turn, endows the owner with certain rights over the content.
The advancement of artificial intelligence (AI) systems has enabled development systems such as autonomous vehicles (AVs). However, like any other technology, AI systems suffer from security vulnerabilities, and they can be easily fooled by a smart adversary. Malicious attacks on AI systems in safety-critical system such as AVs can be life-threatening or result in financial harms. Unfortunately, the research on defensive methods against adversarial attacks on AI systems is at its infancy, and there is a lack of proper understanding of the inherent security vulnerabilities in these systems.
Continuous monitoring of health allows for early diagnosis and tracking of disease progression, thus enabling timely medical intervention. However, continuous monitoring of the patients' health is conventionally conducted in hospitals or long-term care facilities with expensive, bulky, and unobtrusive systems, which require skilled professionals to operate.
The rapidly increasing numbers of COVID-19 patients and long hospitalization periods place great strain on the current healthcare system in Canada. While some patients need hospitalization, most do not. To monitor those at home, accurate data is vital. There are several reasons that prevent continuous monitoring of the five physiological parameters (e.g., skin temperature, oxygen saturation, blood pressure, heart rate, respiration rate); most involve cost.
We propose using the Cortisol hormone, secreted from the fishes during stressful events, to provide ongoing monitoring of fish welfare while in their habitats. Instrumented aquaculture pens will allow operators to continuously be aware of threats to fish health, including harmful blooms, predators, and/or poachers. As Canadian aquaculture capital investments are remote and offshore, a low-cost and low-maintenance Cortisol sensor would be ideal for these sites.
The ever-growing market of portable electronic devices (e.g., laptop computers, tablets, smartphones) has resulted in the penetration of AC adapters in households greater than ever. Accordingly, the portability of such devices entails substantial demands for light-weighted and compact devices. This necessitates the critical need for high power density and highly efficient adapters. In particular, consumers continuously expect to have a more compact adapter with higher efficiency. Besides, the current technology has reached mature stages.