We are proposing an investigation of techniques and technologies to support media-enhanced group performances that integrate different performative art forms (dance, theatre, clown, voice, choral) with responsive mixed reality technologies and public data sets. We will work with a group of young performers (13-17 years old) and a local Vancouver choreographer to deeply investigate, with […]

Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking. Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot. This project will focus on the investigations […]

It has been demonstrated in the previous research that monitoring only one point as the sole region of insulation degradation is not sufficient for operational safety of high-voltage bushings. Therefore, monitoring a wider volume of the high stress region inside the bushing using ECT sensing becomes a necessity for earlier detection of defects. In this […]

While neural networks can classify images with very high accuracy, it was shown in 2013 (original paper by Szegedy et al) that it is also possible to make very small perturbation to an image so that the network misclassifies it (e.g. so that a panda is classified as an airplane). Many variations of this effect […]

Digital devices have the potential to play a positive role in the classroom. For example, longhand note-taking has been shown help learners better remember what they’ve learned than typing notes on a keyboard. With younger generations more accustomed to using digital devices in their everyday lives, it is important that the educational system finds a […]

L’apprentissage automatique est une tâche d’intelligence artificielle où un algorithme apprend une certaine tâche à partir d’exemples. Ce projet a pour objectif de réduire autant que possible la quantité de tels exemples qui doivent être vus par un algorithme pour atteindre des niveaux de performance acceptables. La raison étant que ces exemples sont souvent produits […]

Product documentation is an important information tool connecting any business to its end-users and customers. Comprehensive product documentation will likely result in positive evaluation of the products by the customers and may influence their future purchasing decisions. Many studies show product documentation remains an essential element of any new product even for modern electronic devices […]

Plant monitoring by sensor devices and cameras contributes to having better environmental conditions for plant growth, irrigation, and productivity. However, transmitting the plant images or sensor data packets in a wide farm is not available over a pre-existing infrastructure network. A Delay Tolerant Network, which may be composed of human-centric devices (also known as a […]

For a software application to be released, it may need a number of standard certifications, which should be issued from different associations and for a wide range of software features (e.g., security, perfor-mance, scalability). We call these associations trusted third parties. The main problem with these trust-ed third parties is that they are single points […]

In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to […]

This project aims to address the race bias of face recognition technology by developing new face feature sets and building the suggested models based on an equal number of images from varied-race photos using appropriate deep learning algorithms. This research seeks to deliver industry partner IRIS with guidelines for a developed prototype that facilitates the […]

Text Mining is the process of automatically extracting structured knowledge from unstructured, natural language documents. It aims to support users in dealing with large amounts of textual information. Examples for specific text mining tasks are entity detection, summarization, and opinion mining. Due to the complexity and ambiguity of natural language, this analysis is broken down […]