As the power processing density in new technologies such as 5G and 6G increases, reduction of ripples caused by switching power converter operation becomes a gradually more difficult design problem to solve. Analysis of these ripples and exploring various methods for the ripple reduction in the RF power amplifier circuits are the main topics for […]

Creative BC is an independent provincial agency tasked with overseeing the development andpromotion of B.C.’s creative industries. In addition to administering tax credits and providingproduction support for filmmakers and television producers, it intends to work with the digital media, music and publishing industries to co-develop and implement a strategy for the creative sector. To fulfill […]

The research is meant to invent a quicker and efficient method for evaluating potential suppliers for public sector procurement, especially for construction services. This is a complex and paper intensive process today. Using machine learning models to decipher data and PledgX is focused on building a solution that enables public sector buyers evaluate suppliers more […]

Non-fungible tokens (NFTs) have arisen as a popular and attractive method to handle digital assets, including but not limited to digital art, certificates, audio and video files. Based on Blockchain technology, the concept of NFT can guarantee the ownership of a digital asset, the secure transfer of said ownership and the integrity and immutability of […]

La gamification consiste à exploiter le potentiel des éléments du jeu pour engendrer des changements au niveau du comportement des individus. Cette technique s’aligne parfaitement avec la nouvelle réalité du 21e siècle et la 4e révolution industrielle puisqu’elle fait appel à des technologies de pointe telles que la réalité virtuelle et l’intelligence artificielle. Les projets […]

One purpose of the proposed research project is to contribute to the My Normative (MyN) app development by increasing the number of users on the app and maintaining long-term app usage. The second purpose is to verify the accuracy of the app’s menstrual cycle prediction in female persons of varying cycles less than or greater […]

In the era of big data, software based on artificial intelligence has greatly improved the quality of people’s lives. Although data is not a scarce resource, the data we collected are usually incomplete due to many reasons, i.e. they contain some missing values. Simply deleting these missing data will not only cause great waste, but […]

Additive manufacturing is rapidly employing the Internet of Things and cyber-physical systems to facilitate its reliability and relieve human supervision. However, with 5G network and cloud computing intertwining with the physical machines placed locally, the service is vulnerable to prospective cyberattacks. Various researchers have already stressed the urgent need to ensure the users’ and businesses’ […]

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can […]

Several de-icing systems have been developed to reduce economic losses and safety hazards due to ice and snow accretion on home pathways. These de-icing systems need to be energy-efficient, and therefore, must be accompanied by high-performance sensors capable of accurately detecting ice and snow to control the de-icing system. In addition to this application, recent […]

This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major […]

This project will develop a loss of balance detection system to enhance the iMD Research Vital Zenzer, which monitors vital user biometrics. Accelerometer signals from both waist and wrist-worn body locations will be analyzed to obtain key inputs for Machine Learning and AI algorithms. Such algorithms will be developed to adapt to changing user conditions […]