In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally […]

Thales développe un logiciel pouvant ordonnancer les activités de remise en état d’une flotte des navires militaires. Ce logiciel possède donc un ordonnanceur capable de positionner sur une ligne du temps les différentes tâches à accomplir. L’ordonnancement produit doit tenir compte de la disponibilité des ressources (main-d’oeuvre, équipements, espaces de travail) tout en minimisant les […]

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

The project will investigate data mining techniques and software to support and enhance the activities of ubiquitous sporting competitions. Such support includes but is not limited to feedback on a participant’s activities as well as identification of regions of interest using a custom built wearable computer – the Recon MOD Live, a mobile phone, and […]

RealTerm Energy is developing an AI-based solution for predictively optimizing HVAC (heating, ventilation, and air conditioning) systems in smart buildings. A substantial component of this solution is a data analyzer which will mine an enormous dataset to model the operational behaviours of the buildings in different locations around the world. Based on enormous datasets collected […]

Global Navigation Satellite Systems (GNSS) augmentation techniques such as differential GNSS and real-time kinetic (RTK) positioning have been critical for GNSS accuracy and usability. In a typical scenario, the correction data is streamed to a device in the field (rover station) from a reference (base) station. However, as the number of devices that rely on […]

D-Wave Systems develops and manufactures quantum annealing processors. These processors implement a model of quantum computation that seeks to solve hard problems by exploiting quantum effects such as tunneling and superposition. The aim of this project is to study and improve the performance of quantum annealing processors by mitigating inherent and implementation-dependent failure mechanisms for […]

L’extraction et le partage de données sont au cœur de nombreux défis liés aux systèmes d’information, en particulier dans le domaine médical. C’est pourquoi nous avons développé une méthode de mise en correspondance entre de multiples sources de données médicales et un modèle de connaissance (ontologie). Cette méthode permet, suite à l’intégration d’une source, l’extraction […]

Atwood Technology Inc. is in the early stages of developing an exciting new online dating and relationship service under the proposed brand of “eMatchology”. This service will have three major information technology features that will be key in differentiating it from other players in the market. These features are: i) DateGuard ii) AcuMatch and iii) […]

EcoPliance is a Cleantech startup company based in Halifax, Nova Scotia, that aims to produce reusable and technology-enhanced food and beverage containers that reward consumers for using environmentally friendly products. Each container is collapsible for easy carrying and has a near field communication (NFC) tag with a unique identifier. This will allow users to scan […]

This project aims to use drones and machine learning to measure the net volume of wood residue left in piles after harvesting. The dry content of these piles, known as BIOMASS, can be utilized and reduce the use of non-renewable energies and materials. Since this residue is usually burned, the utilization can also decrease the […]

UVIC and UBC, in collaboration with industry will be developing the Earth Data Store, to provide unparalleled access to standardized temporal and spatial earth observation data and develop industry-specific applications that will allow end-users to see how a region evolves over time using visual interactive maps and running deep learning algorithms. The Earth Data Store […]